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Prof. Kaveh Khalilpour
School of Information, Systems and Modeling, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia

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0 Optimisation
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0 sustainable energy systems
0 Systems Integration

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Journal article
Published: 10 August 2021 in Energies
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The emergence of smart sensors has had a significant impact on the utility industry. In particular, it has made the planning and implementation of demand-side management (DSM) programmes easier. Nevertheless, for various reasons, some users may not implement smart meters for load monitoring. This paper addresses such cases, particularly large-scale industrial users, which, despite heavy electrical loads coming from many different processes, implement only simple energy measuring equipment for billing purposes. This necessitates the utilisation of novel methodologies for load disaggregation, often referred to as nonintrusive load monitoring (NILM). The availability of such tools can create multifold benefits for industrial park management, utility service providers, regulators, and policymakers. Here, we introduce an optimisation algorithm for nonintrusive load disaggregation that is low-cost, speedy, and acceptably accurate. As a case study, we used real network data of three industrial sectors: food processing, stonecutting, and glassmaking. For all cases, the optimisation framework developed a desegregated profile and estimated the load with an error of less than 5%. For non-workdays, given the higher uncertainty for the continuity of different processes, the estimation error was higher but still in an acceptable range of around 3.63–15.09% with an average of 8.10%.

ACS Style

Sara Tavakoli; Kaveh Khalilpour. A Practical Load Disaggregation Approach for Monitoring Industrial Users Demand with Limited Data Availability. Energies 2021, 14, 4880 .

AMA Style

Sara Tavakoli, Kaveh Khalilpour. A Practical Load Disaggregation Approach for Monitoring Industrial Users Demand with Limited Data Availability. Energies. 2021; 14 (16):4880.

Chicago/Turabian Style

Sara Tavakoli; Kaveh Khalilpour. 2021. "A Practical Load Disaggregation Approach for Monitoring Industrial Users Demand with Limited Data Availability." Energies 14, no. 16: 4880.

Research article
Published: 30 May 2021 in International Journal of Energy Research
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Carbon dioxide conversion into beneficial products has received very much attention in recent years to decrease industrial CO2 emissions. In this context, integration of gas to liquids (GTL) process with an iron-based Fischer-Tropsch (FT) reactor with ammonia and urea synthesis plants was investigated. The main motivation of the proposed integration is to reuse a released CO2 stream from the GTL process and to enhance the commercial process economy. The required hydrogen for ammonia comes from polymer electrolyte membrane (PEM) electrolyzers running by solar power. Latin hypercube design (LHD) approach was applied to model the profitability and carbon efficiency of the process. Optimization was conducted to maximize the carbon efficiency and profit index of the overall process using the model-based calibration (MBC) toolbox of MATLAB. The results demonstrated that at the optimum case, the proposed integration is capable of producing 48 t/h of urea and also utilizing about 35 t/h of CO2 produced in the GTL process. The results were compared with another configuration in which a cobalt-based FT reactor was integrated with ammonia and urea processes. The results suggest that profitability, carbon efficiency, and urea production of the process configuration with a Co-based FT reactor is higher than the iron-based configuration while the wax production rate of the iron-based configuration is higher than that of the Co-based process. Techno-economic feasibility study of the zero CO2 emission process represents that the carbon efficiency of around 100% could be obtained.

ACS Style

Mohammad Ziaei; Mehdi Panahi; Mohammad Ali Fanaei; Ahmad Rafiee; Kaveh Khalilpour. A highly carbon‐efficient and techno‐economically optimized process for the renewable‐assisted synthesis of gas to liquid fuels, ammonia, and urea products. International Journal of Energy Research 2021, 45, 16362 -16382.

AMA Style

Mohammad Ziaei, Mehdi Panahi, Mohammad Ali Fanaei, Ahmad Rafiee, Kaveh Khalilpour. A highly carbon‐efficient and techno‐economically optimized process for the renewable‐assisted synthesis of gas to liquid fuels, ammonia, and urea products. International Journal of Energy Research. 2021; 45 (11):16362-16382.

Chicago/Turabian Style

Mohammad Ziaei; Mehdi Panahi; Mohammad Ali Fanaei; Ahmad Rafiee; Kaveh Khalilpour. 2021. "A highly carbon‐efficient and techno‐economically optimized process for the renewable‐assisted synthesis of gas to liquid fuels, ammonia, and urea products." International Journal of Energy Research 45, no. 11: 16362-16382.

Journal article
Published: 14 October 2020 in International Journal of Hydrogen Energy
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The identification of site location is one of the critical tasks in developing or expanding any supply chain system including the construction of renewable power generation plants. The accurate identification of a plant site can considerably reduce unforeseen risks and costs and also raise productivity and efficacy. As such, this study sought to thoroughly evaluate all capital cities of a developing country for the establishment of a hybrid wind/solar power plant to produce hydrogen while considering the most influential and conflicting criteria. For this, 14 criteria including daily solar radiation, wind power density, clearness index, altitude, population, average sunny hours in a year, unemployment rate, average air temperature, average air humidity, average yearly precipitation, natural disasters, the distance between the site and the main road, average dusty days per year, and land price constituted the set of vital factors. To prioritize alternatives, a Fuzzy Multi-Criteria Decision Making approach named FVIKOR (Fuzzy Multi-Criteria Optimization and Compromise Solution) was used. The results indicated that among 31 capital cities, the city of Yazd with a wind power density of 309.5 W/m2 and daily solar radiation of 5.4 kWh/m2 would be the best location for the purpose of this study. To validate the findings, FTOPSIS (Fuzzy Technique for Order Preference by Similarity to Ideal Solution) method was utilized and it also ranked Yazd as the first option. Then, a sensitivity analysis was conducted to discern the behavior of each criterion and their impact on the ranking of the cities. Finally, for hydrogen generation, an autonomous hybrid wind/solar system was techno-economically assessed using HOMER software. According to the analysis outcome, the proposed system showed a payback period of 7 years with levelized cost of 4.75 $/kg for hydrogen.

ACS Style

Mostafa Rezaei; Kaveh R. Khalilpour; Mehdi Jahangiri. Multi-criteria location identification for wind/solar based hydrogen generation: The case of capital cities of a developing country. International Journal of Hydrogen Energy 2020, 45, 33151 -33168.

AMA Style

Mostafa Rezaei, Kaveh R. Khalilpour, Mehdi Jahangiri. Multi-criteria location identification for wind/solar based hydrogen generation: The case of capital cities of a developing country. International Journal of Hydrogen Energy. 2020; 45 (58):33151-33168.

Chicago/Turabian Style

Mostafa Rezaei; Kaveh R. Khalilpour; Mehdi Jahangiri. 2020. "Multi-criteria location identification for wind/solar based hydrogen generation: The case of capital cities of a developing country." International Journal of Hydrogen Energy 45, no. 58: 33151-33168.

Journal article
Published: 07 June 2020 in International Journal of Greenhouse Gas Control
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A techno-economic equation-based methodology is developed for optimal design and operation of integrated solvent-based post-combustion carbon capture (PCC) processes using a rate-based model for the interaction of gas and liquid. The algorithm considers a wide range of techno-economic design and operation parameters such as number of absorber/desorber columns, height of columns, diameter of columns, operating conditions (P, T) of columns, pressure drop, packing type, percentage of CO2 mitigated, captured CO2 purity, amount of solvent regeneration, flooding velocities of columns, and number of compression stages. A case study is conducted to showcase two common objective-functions i) minimizing total capital investment, and ii) minimizing levelized capture costs, both for a 300 MW coal-power plant in Australia. The former objective leads to the lowest possible total capital cost of $312.4 M corresponding to levelized carbon capture cost of 58.1 $/tonne−CO2. For objective (ii), however, the lowest levelized carbon capture cost is found to be around ten percent lower (52.8 $/tonne−CO2), though it leads to a higher total capital cost ($325.2 M). The results indicate that the design and operation variables are markedly interactive, and no unique optimal design exists which can deliver all desired outcomes at once. Therefore, decisions on the selection of right variables become dependent on the decision-makers techno-economic objectives.

ACS Style

Kaveh R. Khalilpour; Ali Zafaranloo. Generic techno-economic optimization methodology for concurrent design and operation of solvent-based PCC processes. International Journal of Greenhouse Gas Control 2020, 99, 103079 .

AMA Style

Kaveh R. Khalilpour, Ali Zafaranloo. Generic techno-economic optimization methodology for concurrent design and operation of solvent-based PCC processes. International Journal of Greenhouse Gas Control. 2020; 99 ():103079.

Chicago/Turabian Style

Kaveh R. Khalilpour; Ali Zafaranloo. 2020. "Generic techno-economic optimization methodology for concurrent design and operation of solvent-based PCC processes." International Journal of Greenhouse Gas Control 99, no. : 103079.

Journal article
Published: 30 March 2020 in Applied Energy
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It is long known that the afternoon peak demand accounts for over-investment in the electricity network assets. This results in a high price of delivered electricity which does not fairly differentiate between peak and non-peak users. Energy tariff is proven to be one of the best demand-side management (DSM) tools for shaping consumers’ behaviour. While electricity pricing models, such as inclining block and time-of-use tariffs, have received decent attention as successful mechanisms, there are little discussions about another efficient tariff known as a rollover network capacity charge. It is a penalty for the highest recorded power usage over the previous reading cycle (or year) which is introduced to commercial users in some jurisdictions. With recent price reduction in distributed generation and storage (DGS) systems, the interest has increased in devising policies for directing the household and commercial consumers’ behaviour towards using DGS systems in line with DSM objectives. In this paper, we have integrated the rollover network capacity charge into DGS systems investment analysis. The introduced optimisation formulation can consider capacity charge for both energy import and export. The results from a few case studies show the positive impact of capacity charge in directing the peak-consumers’ investment decisions towards DSM tools (e.g., energy storage) to curb their peak demands. This not only improves the resilience of the network but also promises as an effective mechanism in energy-justice nexus by avoiding the transfer of the associated costs of peak demand to all users.

ACS Style

Kaveh R. Khalilpour; Peter Lusis. Network capacity charge for sustainability and energy equity: A model-based analysis. Applied Energy 2020, 266, 114847 .

AMA Style

Kaveh R. Khalilpour, Peter Lusis. Network capacity charge for sustainability and energy equity: A model-based analysis. Applied Energy. 2020; 266 ():114847.

Chicago/Turabian Style

Kaveh R. Khalilpour; Peter Lusis. 2020. "Network capacity charge for sustainability and energy equity: A model-based analysis." Applied Energy 266, no. : 114847.

Journal article
Published: 18 March 2020 in International Journal of Hydrogen Energy
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The objective of this study was to investigate the evolution of hydrogen research and its international scientific collaboration network. From the Scopus database, 58,006 relevant articles, published from 1935 until mid-2018, were retrieved. To review this massive volume of publication records, we took a scientometric network analysis approach and investigated the social network of the publication contents based on keywords co-occurrence as well as international collaboration ties. An interesting observation is that despite publications on hydrogen occurring since 1935, the growth of this research field ignited with the Kyoto Protocol of 1997. The publication profile reveals that more than 93% of the existing records have been published over the last two decades. More recently, the accelerated growth of renewables has further motivated hydrogen research with almost 36,000 academic records having been indexed from 2010 till mid-2018. This accounts for ~62% of the total historical publications on hydrogen. The conventional hydrogen production pathway is fossil fuel-based, involving fossil fuel reforming for synthesis gas generation. The keyword analysis also shows a paradigm shift in hydrogen generation to renewables. While all components of hydrogen supply chain research are now growing, the topic areas of biohydrogen and photocatalysis seem to be growing the fastest. Analysis of international collaboration networks also reveals a strong correlation between the increase of collaboration ties on hydrogen research and the publications. Until the 1970s, only 25 countries had collaborated, while this has reached 108 countries as of 2018, with over 17,500 collaboration ties. The collaborations have also evolved into a substantially more integrated network, with a few strong clusters involving China, the United States, Germany, and Japan. The longitudinal network evolution maps also reveal a shift, over the last two decades, from US-Europe centred technology development-interaction to a world in which Asian economies play substantial roles.

ACS Style

Kaveh R. Khalilpour; Ron Pace; Faezeh Karimi. Retrospective and prospective of the hydrogen supply chain: A longitudinal techno-historical analysis. International Journal of Hydrogen Energy 2020, 45, 34294 -34315.

AMA Style

Kaveh R. Khalilpour, Ron Pace, Faezeh Karimi. Retrospective and prospective of the hydrogen supply chain: A longitudinal techno-historical analysis. International Journal of Hydrogen Energy. 2020; 45 (59):34294-34315.

Chicago/Turabian Style

Kaveh R. Khalilpour; Ron Pace; Faezeh Karimi. 2020. "Retrospective and prospective of the hydrogen supply chain: A longitudinal techno-historical analysis." International Journal of Hydrogen Energy 45, no. 59: 34294-34315.

Review article
Published: 25 December 2019 in Renewable and Sustainable Energy Reviews
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Hydrogen is known as a technically viable and benign energy vector for applications ranging from the small-scale power supply in off-grid modes to large-scale chemical energy exports. However, with hydrogen being naturally unavailable in its pure form, traditionally reliant industries such as oil refining and fertilisers have sourced it through emission-intensive gasification and reforming of fossil fuels. Although the deployment of hydrogen as an alternative energy vector has long been discussed, it has not been realised because of the lack of low-cost hydrogen generation and conversion technologies. The recent tipping point in the cost of some renewable energy technologies such as wind and photovoltaics (PV) has mobilised continuing sustained interest in renewable hydrogen through water splitting. This paper presents a critical review of the current state of the arts of hydrogen supply chain as a forwarding energy vector, comprising its resources, generation and storage technologies, demand market, and economics.

ACS Style

Zainul Abdin; Ali Zafaranloo; Ahmad Rafiee; Walter Mérida; Wojciech Lipiński; Rajab Khalilpour. Hydrogen as an energy vector. Renewable and Sustainable Energy Reviews 2019, 120, 109620 .

AMA Style

Zainul Abdin, Ali Zafaranloo, Ahmad Rafiee, Walter Mérida, Wojciech Lipiński, Rajab Khalilpour. Hydrogen as an energy vector. Renewable and Sustainable Energy Reviews. 2019; 120 ():109620.

Chicago/Turabian Style

Zainul Abdin; Ali Zafaranloo; Ahmad Rafiee; Walter Mérida; Wojciech Lipiński; Rajab Khalilpour. 2019. "Hydrogen as an energy vector." Renewable and Sustainable Energy Reviews 120, no. : 109620.

Journal article
Published: 07 September 2019 in Journal of CO2 Utilization
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The integration of a natural gas to liquids (GTL) process with ammonia and urea synthesis units was conducted to utilize the emitted CO2 of the GTL process for the urea synthesis. The feedstocks of the ammonia synthesis unit including hydrogen and nitrogen were provided by a polymer electrolyte membrane (PEM) electrolyzer and air separation unit (ASU) of the GTL process, respectively. The required power for the PEM modules was assumed to be supplied by the surplus generated power of the GTL process. To enhance the overall carbon efficiency and profitability of the three processes, the emitted CO2 from the GTL process was utilized in the urea synthesis unit. Multi-objective optimization approach was conducted to determine the optimal values of carbon efficiency and wax production rate of the GTL process. Objective functions were calculated by response surface methodology with second-order polynomial regression. The degrees of freedom were defined as follows: unpurged ratio of recycled tail gas from Fischer-Tropsch (FT) reactor, recycle ratio of the GTL tail gas to the FT reactor, CO2 removal percentage from the GTL process synthesis gas (syngas) section, steam to carbon ratio to pre-reformer, molar flow of feed to the ammonia synthesis unit, and CO2 intake to the urea unit. The presented integration results in the production of about 434,000 tonnes/year urea in addition to the FT-derived products. 13.71% (37 tonnes/h) of the produced CO2 in the GTL process is utilized in the urea production unit and the profitability of the integrated process is enhanced by 8%.

ACS Style

Mohammad Ziaei; Mehdi Panahi; Mohammad Ali Fanaei; Ahmad Rafiee; Rajab Khalilpour. Maximizing the profitability of integrated Fischer-Tropsch GTL process with ammonia and urea synthesis using response surface methodology. Journal of CO2 Utilization 2019, 35, 14 -27.

AMA Style

Mohammad Ziaei, Mehdi Panahi, Mohammad Ali Fanaei, Ahmad Rafiee, Rajab Khalilpour. Maximizing the profitability of integrated Fischer-Tropsch GTL process with ammonia and urea synthesis using response surface methodology. Journal of CO2 Utilization. 2019; 35 ():14-27.

Chicago/Turabian Style

Mohammad Ziaei; Mehdi Panahi; Mohammad Ali Fanaei; Ahmad Rafiee; Rajab Khalilpour. 2019. "Maximizing the profitability of integrated Fischer-Tropsch GTL process with ammonia and urea synthesis using response surface methodology." Journal of CO2 Utilization 35, no. : 14-27.

Journal article
Published: 16 May 2019 in Sustainable Production and Consumption
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Economies are constrained by a variety of economic, social, and political factors to attempt a reduction in environmental impacts such as global warming. While improvements in technology are commonly the expected general solution, lifestyle changes and modifications on consumption are also necessary to effectively reduce pollution. Such regulations may modify production activities, thus altering economic and social stability. Therefore, analyses need to consider numerous different aspects to locate suitable sectors in the economy in which emission reduction can be accomplished with the least socio-economic impact. Through an extended input–output analysis, this paper gives an insight into the intricate relationship of the sectors of an economic region and their respective greenhouse gas (GHG) emissions. Taking both a producer and a consumer-based perspective, sectors are analysed and categorised through various socio-economic and environmental indicators. The descriptive approach discerns between emission inventories of production activities and embodied emissions of consumption patterns, thus assigning a different responsibility to the carbon footprint of industrial activities. Further, an innovative multi-objective optimisation model is developed with consideration of Gross Domestic Product (GDP), GHG emissions, and employment. This methodology enables mapping an optimised space of scenarios for emission reduction through consumption limitation with a minimal socio-economic loss. The Australian economy was used as a case study. Results show a substantial difference in the allocation of emissions from a producer and a consumer perspective, indicating that many sectors rely on a small number of emissions-intensive sectors for their activities. Through the optimisation, all possible emission reductions are linked to consumption limit scenarios of minimised economic and employment losses. The model is effective in showing areas of interest for further scrutiny in consumption modification to meet a national agenda. Additionally, because of its adjustable and scalable configuration, the model can serve as the basis for future tailored analysis involving simultaneous multiple socio-economic and environmental impacts.

ACS Style

Daniel Rojas Sanchez; Andrew F.A. Hoadley; Rajab Khalilpour. A multi-objective extended input–output model for a regional economy. Sustainable Production and Consumption 2019, 20, 15 -28.

AMA Style

Daniel Rojas Sanchez, Andrew F.A. Hoadley, Rajab Khalilpour. A multi-objective extended input–output model for a regional economy. Sustainable Production and Consumption. 2019; 20 ():15-28.

Chicago/Turabian Style

Daniel Rojas Sanchez; Andrew F.A. Hoadley; Rajab Khalilpour. 2019. "A multi-objective extended input–output model for a regional economy." Sustainable Production and Consumption 20, no. : 15-28.

Book chapter
Published: 01 January 2019 in Polygeneration with Polystorage for Chemical and Energy Hubs
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ACS Style

Ahmad Rafiee; Kaveh Rajab Khalilpour; Dia Milani. CO2 Conversion and Utilization Pathways. Polygeneration with Polystorage for Chemical and Energy Hubs 2019, 213 -245.

AMA Style

Ahmad Rafiee, Kaveh Rajab Khalilpour, Dia Milani. CO2 Conversion and Utilization Pathways. Polygeneration with Polystorage for Chemical and Energy Hubs. 2019; ():213-245.

Chicago/Turabian Style

Ahmad Rafiee; Kaveh Rajab Khalilpour; Dia Milani. 2019. "CO2 Conversion and Utilization Pathways." Polygeneration with Polystorage for Chemical and Energy Hubs , no. : 213-245.

Book chapter
Published: 01 January 2019 in Polygeneration with Polystorage for Chemical and Energy Hubs
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ACS Style

Ahmad Rafiee; Kaveh Rajab Khalilpour. Renewable Hybridization of Oil and Gas Supply Chains. Polygeneration with Polystorage for Chemical and Energy Hubs 2019, 331 -372.

AMA Style

Ahmad Rafiee, Kaveh Rajab Khalilpour. Renewable Hybridization of Oil and Gas Supply Chains. Polygeneration with Polystorage for Chemical and Energy Hubs. 2019; ():331-372.

Chicago/Turabian Style

Ahmad Rafiee; Kaveh Rajab Khalilpour. 2019. "Renewable Hybridization of Oil and Gas Supply Chains." Polygeneration with Polystorage for Chemical and Energy Hubs , no. : 331-372.

Book chapter
Published: 01 January 2019 in Polygeneration with Polystorage for Chemical and Energy Hubs
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ACS Style

Zainul Abdin; Christos Agrafiotis; John M. Betts; Hamid Ghanbari; James Hinkley; Faezeh Karimi; Kaveh Rajab Khalilpour; Pankaj Kumar; Alekhya Kunamalla; Swarnalatha Mailaram; Sunil K. Maity; Dia Milani; Joel Parraga; Hesamoddin Rabiee; Ahmad Rafiee; Nigel Tapper; Mohan Varkolu; Anthony Vassallo. Contributors. Polygeneration with Polystorage for Chemical and Energy Hubs 2019, 1 .

AMA Style

Zainul Abdin, Christos Agrafiotis, John M. Betts, Hamid Ghanbari, James Hinkley, Faezeh Karimi, Kaveh Rajab Khalilpour, Pankaj Kumar, Alekhya Kunamalla, Swarnalatha Mailaram, Sunil K. Maity, Dia Milani, Joel Parraga, Hesamoddin Rabiee, Ahmad Rafiee, Nigel Tapper, Mohan Varkolu, Anthony Vassallo. Contributors. Polygeneration with Polystorage for Chemical and Energy Hubs. 2019; ():1.

Chicago/Turabian Style

Zainul Abdin; Christos Agrafiotis; John M. Betts; Hamid Ghanbari; James Hinkley; Faezeh Karimi; Kaveh Rajab Khalilpour; Pankaj Kumar; Alekhya Kunamalla; Swarnalatha Mailaram; Sunil K. Maity; Dia Milani; Joel Parraga; Hesamoddin Rabiee; Ahmad Rafiee; Nigel Tapper; Mohan Varkolu; Anthony Vassallo. 2019. "Contributors." Polygeneration with Polystorage for Chemical and Energy Hubs , no. : 1.

Book chapter
Published: 01 January 2019 in Polygeneration with Polystorage for Chemical and Energy Hubs
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ACS Style

Kaveh Rajab Khalilpour. Preface. Polygeneration with Polystorage for Chemical and Energy Hubs 2019, 1 .

AMA Style

Kaveh Rajab Khalilpour. Preface. Polygeneration with Polystorage for Chemical and Energy Hubs. 2019; ():1.

Chicago/Turabian Style

Kaveh Rajab Khalilpour. 2019. "Preface." Polygeneration with Polystorage for Chemical and Energy Hubs , no. : 1.

Book chapter
Published: 01 January 2019 in Polygeneration with Polystorage for Chemical and Energy Hubs
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ACS Style

Kaveh Rajab Khalilpour. Stranded Renewable Energies, Beyond Local Security, Toward Export: A Concept Note on the Design of Future Energy and Chemical Supply Chains. Polygeneration with Polystorage for Chemical and Energy Hubs 2019, 157 -173.

AMA Style

Kaveh Rajab Khalilpour. Stranded Renewable Energies, Beyond Local Security, Toward Export: A Concept Note on the Design of Future Energy and Chemical Supply Chains. Polygeneration with Polystorage for Chemical and Energy Hubs. 2019; ():157-173.

Chicago/Turabian Style

Kaveh Rajab Khalilpour. 2019. "Stranded Renewable Energies, Beyond Local Security, Toward Export: A Concept Note on the Design of Future Energy and Chemical Supply Chains." Polygeneration with Polystorage for Chemical and Energy Hubs , no. : 157-173.

Research article
Published: 20 December 2018 in Industrial & Engineering Chemistry Research
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Compressed air energy storage (CAES) is an energy storage option with a history of almost half a century. The concept of CAES is formed around the integration of this system with a gas-fired power generator. Here, we introduce a methodology that a gas power generating plant installs both air and natural gas storage system to utilize their stored energy as well as the real economic value of natural gas following market dynamics. We present a detailed mixed-integer techno-economic formulation for operation scheduling of such a system. An example is also provided for a 180 MW gas generator in Australia with results showing how the storage facilities could improve the revenues of the plant. The analyses clearly show optimal conditions for a mix of natural gas and storage sizes in order to achieve the highest economic revenue.

ACS Style

Kaveh Rajab Khalilpour; Ignacio E. Grossmann; Anthony Vassallo. Integrated Power-to-Gas and Gas-to-Power with Air and Natural-Gas Storage. Industrial & Engineering Chemistry Research 2018, 58, 1322 -1340.

AMA Style

Kaveh Rajab Khalilpour, Ignacio E. Grossmann, Anthony Vassallo. Integrated Power-to-Gas and Gas-to-Power with Air and Natural-Gas Storage. Industrial & Engineering Chemistry Research. 2018; 58 (3):1322-1340.

Chicago/Turabian Style

Kaveh Rajab Khalilpour; Ignacio E. Grossmann; Anthony Vassallo. 2018. "Integrated Power-to-Gas and Gas-to-Power with Air and Natural-Gas Storage." Industrial & Engineering Chemistry Research 58, no. 3: 1322-1340.

Book chapter
Published: 30 November 2018 in Polygeneration with Polystorage for Chemical and Energy Hubs
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The contemporary climate change crisis has motivated the need for decentralization of energy networks. Over recent years, several often closely defined concepts have been introduced for decentralized energy networks. These include “microgrid,” “mesogrid,” “nanogrid,” “energy internet,” “community energy network,” “social energy network,” “peer-to-peer energy network,” and “virtual power plant.” The critical challenge in this context is determining the optimal extent of decentralization and the design and operation of new local energy networks. With the rapid developments in distributed generation and storage (DGS) technologies and the introduction of various products with diverse specifications, the selection of a DGS system, with decisions as to its appropriate size, has become a complex problem. DS4S is a decision support tool based on discrete optimization algorithms. It supports energy hub developers in the concurrent screening, selection, sizing, and scheduling of DGS systems based on various types of objective (minimum initial investment, minimum levelized cost of energy, highest reliability, etc.). It supports both on-network and off-network conditions. Discussion is also provided in this chapter about the development of cooperative energy hubs and associated challenges. Two mechanisms are considered for the operation of multiuser energy hubs, namely, “DSO-out-of-the-loop” and “DSO-in-the-loop” systems. Although for a single energy hub DSO-out-of-the-loop might be an effective approach, networks of energy hubs may require a “DSO-in-the-loop” system due to complexities involved.

ACS Style

Kaveh Rajab Khalilpour. Design and Operational Management of Energy Hubs: A DS4S (Screening, Selection, Sizing, and Scheduling) Framework. Polygeneration with Polystorage for Chemical and Energy Hubs 2018, 493 -512.

AMA Style

Kaveh Rajab Khalilpour. Design and Operational Management of Energy Hubs: A DS4S (Screening, Selection, Sizing, and Scheduling) Framework. Polygeneration with Polystorage for Chemical and Energy Hubs. 2018; ():493-512.

Chicago/Turabian Style

Kaveh Rajab Khalilpour. 2018. "Design and Operational Management of Energy Hubs: A DS4S (Screening, Selection, Sizing, and Scheduling) Framework." Polygeneration with Polystorage for Chemical and Energy Hubs , no. : 493-512.

Book chapter
Published: 30 November 2018 in Polygeneration with Polystorage for Chemical and Energy Hubs
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Until very recent times, the topic of a “100% renewable energy system” was a type of intellectual and mostly academic discussion. But some revolutionary movements in the renewable energy markets, e.g., photovoltaic (PV) cells and wind technologies, have raised hopes and converted “100% renewables” to an attainable scenario in policy and planning analyses with several successful deployment stories already around the world. Here, we investigate some historical background of this new field from the academic literature and the ongoing research directions. We also elaborate on the associated energy system planning challenges in this context.

ACS Style

Rajab Khalilpour. The Transition From X% to 100% Renewable Future: Perspective and Prospective. Polygeneration with Polystorage for Chemical and Energy Hubs 2018, 513 -549.

AMA Style

Rajab Khalilpour. The Transition From X% to 100% Renewable Future: Perspective and Prospective. Polygeneration with Polystorage for Chemical and Energy Hubs. 2018; ():513-549.

Chicago/Turabian Style

Rajab Khalilpour. 2018. "The Transition From X% to 100% Renewable Future: Perspective and Prospective." Polygeneration with Polystorage for Chemical and Energy Hubs , no. : 513-549.

Book chapter
Published: 30 November 2018 in Polygeneration with Polystorage for Chemical and Energy Hubs
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Enforced by sustainability concerns, the energy industry has been through a transformation from a conventional centralized and inflexible fossil-fuel-based system to decentralized, cleaner, and flexible systems. The concept of an energy hub and all relevant terms such as “polygeneration,” “microgrid,” “mesogrid,” “nanogrid,” “energy internet,” “community energy network,” “social energy network,” and “virtual power plant” are introduced to address decentralized energy systems, which can utilize diverse resources and technologies in the vicinity for energy generation and storage to supply sustainable, reliable, and affordable sources of energy. This study investigates the evolutionary trends of major research topics in this field by exploring the co-occurrence network of keywords associated with publications. The analysis is based on over 3000 related publications from 1962 to 2017. The term “polystorage” is also introduced as an identical to “polygeneration” in the context of energy storage diversification.

ACS Style

Faezeh Karimi; Kaveh Rajab Khalilpour. Energy Hubs and Polygeneration Systems: A Social Network Analysis. Polygeneration with Polystorage for Chemical and Energy Hubs 2018, 53 -75.

AMA Style

Faezeh Karimi, Kaveh Rajab Khalilpour. Energy Hubs and Polygeneration Systems: A Social Network Analysis. Polygeneration with Polystorage for Chemical and Energy Hubs. 2018; ():53-75.

Chicago/Turabian Style

Faezeh Karimi; Kaveh Rajab Khalilpour. 2018. "Energy Hubs and Polygeneration Systems: A Social Network Analysis." Polygeneration with Polystorage for Chemical and Energy Hubs , no. : 53-75.

Book chapter
Published: 30 November 2018 in Polygeneration with Polystorage for Chemical and Energy Hubs
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Historically, the interaction between the gas and electricity networks has been one directional: the electricity network has been one of the consumers of the natural gas network for running gas power plants (i.e., gas to power, GtP). With the increased penetration of renewable energies into the electricity grid, a new challenge of electron oversupply and undersupply arises due to variable renewable resource availability. This challenge has created abundant interest in the “power-to-gas (PtG)” concept, where surplus electrons from the electricity network can be utilized for hydrogen or methane production to feed into the natural gas network. In this chapter, we investigate the PtG and GtP concepts and analyze the challenges and opportunities of available options.

ACS Style

Kaveh Rajab Khalilpour. Interconnected Electricity and Natural Gas Supply Chains: The Roles of Power to Gas and Gas to Power. Polygeneration with Polystorage for Chemical and Energy Hubs 2018, 133 -155.

AMA Style

Kaveh Rajab Khalilpour. Interconnected Electricity and Natural Gas Supply Chains: The Roles of Power to Gas and Gas to Power. Polygeneration with Polystorage for Chemical and Energy Hubs. 2018; ():133-155.

Chicago/Turabian Style

Kaveh Rajab Khalilpour. 2018. "Interconnected Electricity and Natural Gas Supply Chains: The Roles of Power to Gas and Gas to Power." Polygeneration with Polystorage for Chemical and Energy Hubs , no. : 133-155.

Book chapter
Published: 30 November 2018 in Polygeneration with Polystorage for Chemical and Energy Hubs
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This chapter describes three paradigms in human-nature interactions with respect to the role of “resource storage.” The first paradigm is pre-Industrial Revolution, when humans had learned adaptation to the nature variability through storage of resources at oversupply periods. The second paradigm is post-Industrial Revolution, when access to reliable source of fossil fuels reduced the dependence on the nature and led to baseload industries and lifestyles, which were less and less in harmony with the nature's cycles. The new paradigm, after notably damaging the biosphere, is the “move forward to the past” with adjusting the lifestyle and the industrial practices with the nature's constraints through flexible manufacturing and consumption behavioral change in which energy storage and waste recycle play critical roles.

ACS Style

Kaveh Rajab Khalilpour. Moving Forward to the Past, With Adaptation and Flexibility: The Special Role of Resource Storage. Polygeneration with Polystorage for Chemical and Energy Hubs 2018, 1 -25.

AMA Style

Kaveh Rajab Khalilpour. Moving Forward to the Past, With Adaptation and Flexibility: The Special Role of Resource Storage. Polygeneration with Polystorage for Chemical and Energy Hubs. 2018; ():1-25.

Chicago/Turabian Style

Kaveh Rajab Khalilpour. 2018. "Moving Forward to the Past, With Adaptation and Flexibility: The Special Role of Resource Storage." Polygeneration with Polystorage for Chemical and Energy Hubs , no. : 1-25.