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Data-driven models, either simplified or detailed, have been extensively used in the literature for energy assessment in buildings and districts. However, the uncertainty of the estimated parameters, especially of thermal masses in resistance–capacitance (RC) models, still remains a significant challenge, given the wide variety of buildings functionalities, typologies, structures and geometries. Therefore, the sensitivity analysis of the estimated parameters in RC models with respect to different geometric characteristics is necessary to examine the accuracy of identified models. In this work, heavy- and light-structured buildings are simulated in Transient System Simulation Tool (TRNSYS) to analyze the effects of four main geometric characteristics on the total heat demand, maximum heat power and the estimated parameters of an RC model (4R3C), namely net-floor area, windows-to-floor ratio, aspect ratio, and orientation angle. Executing more than 700 simulations in TRNSYS and comparing the outcomes with their corresponding 4R3C model shows that the thermal resistances of 4-facade building structures are estimated with good accuracy regardless of their geometric features, while the insulation level has the highest impact on the estimated parameters. Importantly, the results obtained also indicate that the 4R3C model can estimate the indoor temperature with a mean square error of less than 0.5 °C2 for all cases.
Ali Bagheri; Konstantinos N. Genikomsakis; Véronique Feldheim; Christos S. Ioakimidis. Sensitivity Analysis of 4R3C Model Parameters with Respect to Structure and Geometric Characteristics of Buildings. Energies 2021, 14, 657 .
AMA StyleAli Bagheri, Konstantinos N. Genikomsakis, Véronique Feldheim, Christos S. Ioakimidis. Sensitivity Analysis of 4R3C Model Parameters with Respect to Structure and Geometric Characteristics of Buildings. Energies. 2021; 14 (3):657.
Chicago/Turabian StyleAli Bagheri; Konstantinos N. Genikomsakis; Véronique Feldheim; Christos S. Ioakimidis. 2021. "Sensitivity Analysis of 4R3C Model Parameters with Respect to Structure and Geometric Characteristics of Buildings." Energies 14, no. 3: 657.
Rapidly increasing global energy demand has raised concerns about the exhaustion of energy resources and the consequent heavy environmental impact. Improving energy efficiency in cities comprises an initial measure for addressing these phenomena. Within the current context of globalization, EU initiatives and policy targets have been proposed in order to revise urban development strategies and motivate its member states (MSes) toward “zero-energy objectives”. Providing a methodological approach with a simulation district analysis, the present article summarizes how this challenge was analyzed in an existing district in Belgium. This study contributes to the scientific discussion by analyzing the applicability of a holistic approach to zero-energy objectives on a larger scale.
Sesil Koutra; Claire Pagnoule; Nikolaos-Fivos Galatoulas; Ali Bagheri; Thomas Waroux; Vincent Becue; Christos S. Ioakimidis. The Zero-Energy Idea in Districts: Application of a Methodological Approach to a Case Study of Epinlieu (Mons). Sustainability 2019, 11, 4814 .
AMA StyleSesil Koutra, Claire Pagnoule, Nikolaos-Fivos Galatoulas, Ali Bagheri, Thomas Waroux, Vincent Becue, Christos S. Ioakimidis. The Zero-Energy Idea in Districts: Application of a Methodological Approach to a Case Study of Epinlieu (Mons). Sustainability. 2019; 11 (17):4814.
Chicago/Turabian StyleSesil Koutra; Claire Pagnoule; Nikolaos-Fivos Galatoulas; Ali Bagheri; Thomas Waroux; Vincent Becue; Christos S. Ioakimidis. 2019. "The Zero-Energy Idea in Districts: Application of a Methodological Approach to a Case Study of Epinlieu (Mons)." Sustainability 11, no. 17: 4814.
This paper presents a life cycle assessment (LCA) study that examines a number of scenarios that complement the primary use phase of electric vehicle (EV) batteries with a secondary application in smart buildings in Spain, as a means of extending their useful life under less demanding conditions, when they no longer meet the requirements for automotive purposes. Specifically, it considers a lithium iron phosphate (LFP) battery to analyze four second life application scenarios by combining the following cases: (i) either reuse of the EV battery or manufacturing of a new battery as energy storage unit in the building; and (ii) either use of the Spanish electricity mix or energy supply by solar photovoltaic (PV) panels. Based on the Eco-indicator 99 and IPCC 2007 GWP 20a methods, the evaluation of the scenario results shows that there is significant environmental benefit from reusing the existing EV battery in the secondary application instead of manufacturing a new battery to be used for the same purpose and time frame. Moreover, the findings of this work exemplify the dependence of the results on the energy source in the smart building application, and thus highlight the importance of PVs on the reduction of the environmental impact.
Christos Ioakimidis; Alberto Murillo-Marrodán; Ali Bagheri; Dimitrios Thomas; Konstantinos Genikomsakis. Life Cycle Assessment of a Lithium Iron Phosphate (LFP) Electric Vehicle Battery in Second Life Application Scenarios. Sustainability 2019, 11, 2527 .
AMA StyleChristos Ioakimidis, Alberto Murillo-Marrodán, Ali Bagheri, Dimitrios Thomas, Konstantinos Genikomsakis. Life Cycle Assessment of a Lithium Iron Phosphate (LFP) Electric Vehicle Battery in Second Life Application Scenarios. Sustainability. 2019; 11 (9):2527.
Chicago/Turabian StyleChristos Ioakimidis; Alberto Murillo-Marrodán; Ali Bagheri; Dimitrios Thomas; Konstantinos Genikomsakis. 2019. "Life Cycle Assessment of a Lithium Iron Phosphate (LFP) Electric Vehicle Battery in Second Life Application Scenarios." Sustainability 11, no. 9: 2527.
This paper describes the evolution of the thermal network and its applications for making simplified thermal models of buildings by means of thermal resistances (R) and capacitances (C). In the literature, there are several modelling schemes for buildings. Here, we investigate the advantages, disadvantages, and improvements of thermal networks. The thermal network method has been used in different studies for calculating indoor air temperature and heating load, estimating model parameters, and studying building interactions with heating and cooling systems. This review paper conducts an investigation into the application, system identification, and structure of thermal networks compared to other tools. Within the framework of the thermal network method, we conclude with some new proposals for research in this field to expand the idea of the thermal network to other engineering and energy management fields.
Ali Bagheri; Véronique Feldheim; Christos S. Ioakimidis. On the Evolution and Application of the Thermal Network Method for Energy Assessments in Buildings. Energies 2018, 11, 890 .
AMA StyleAli Bagheri, Véronique Feldheim, Christos S. Ioakimidis. On the Evolution and Application of the Thermal Network Method for Energy Assessments in Buildings. Energies. 2018; 11 (4):890.
Chicago/Turabian StyleAli Bagheri; Véronique Feldheim; Christos S. Ioakimidis. 2018. "On the Evolution and Application of the Thermal Network Method for Energy Assessments in Buildings." Energies 11, no. 4: 890.
The present work examines the supply of heating and electricity to the Spanish village of Uruena, using biomass and other local renewable sources as a result of the growing interest worldwide towards the development of sustainable and energy independent small communities. Specifically, this case study considers the design of a district heating system consisting of a solar heating plant, a biomass plant using straw as a sustainable fuel for the base load and an oil boiler for the peak load, coupled with a hot water tank as a thermal energy storage option. Two alternative scenarios are analyzed for electricity generation purposes, namely a system consisting of three small wind turbines and a system with a single large wind turbine. The results show that the cost of large-scale electricity storage depends on the application and often involves significant capital investments.
Christos S. Ioakimidis; Sesil Koutra; Ali Bagheri; Konstantinos Genikomsakis. Solar thermal and wind energy applications: Case study of a small Spanish village. Thermal Science 2018, 22, 2163 -2176.
AMA StyleChristos S. Ioakimidis, Sesil Koutra, Ali Bagheri, Konstantinos Genikomsakis. Solar thermal and wind energy applications: Case study of a small Spanish village. Thermal Science. 2018; 22 (5):2163-2176.
Chicago/Turabian StyleChristos S. Ioakimidis; Sesil Koutra; Ali Bagheri; Konstantinos Genikomsakis. 2018. "Solar thermal and wind energy applications: Case study of a small Spanish village." Thermal Science 22, no. 5: 2163-2176.
Efficient energy operation of microgrids that include a localized group of controllable loads with distributed energy resources (DERs) requires the development of energy management systems (EMSs) with the ability of controlling the loads so that the aggregate performance of the microgrid can be optimized. This paper proposes a bi-directional EMS framework used for an office building including photovoltaic panels (PV), an energy storage system (ESS) and a combined heat and power (CHP) microturbine. A simplified building thermal model is developed for predicting and characterizing the thermal demand. The developed mixed integer linear programming (MILP) model utilizes two-way energy exchange using net metering technology and incorporates an optimizer which decides the power flow among the DERs components of the microgrid so as to minimize electricity cost and in the same time ensure the thermal comfort of the occupants. Simulation results demonstrated the individual energy contribution of each DER in the system and confirmed the effectiveness of the proposed approach.
Dimitrios Thomas; Ali Bagheri; Veronique Feldheim; Olivier Deblecker; Christos S. Ioakimidis. Energy and thermal comfort management in a smart building facilitating a microgrid optimization. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society 2017, 3621 -3626.
AMA StyleDimitrios Thomas, Ali Bagheri, Veronique Feldheim, Olivier Deblecker, Christos S. Ioakimidis. Energy and thermal comfort management in a smart building facilitating a microgrid optimization. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 2017; ():3621-3626.
Chicago/Turabian StyleDimitrios Thomas; Ali Bagheri; Veronique Feldheim; Olivier Deblecker; Christos S. Ioakimidis. 2017. "Energy and thermal comfort management in a smart building facilitating a microgrid optimization." IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society , no. : 3621-3626.
Ali Bagheri; Véronique Feldheim; Dimitrios Thomas; Christos S. Ioakimidis. The adjacent walls effects in simplified thermal model of buildings. Energy Procedia 2017, 122, 619 -624.
AMA StyleAli Bagheri, Véronique Feldheim, Dimitrios Thomas, Christos S. Ioakimidis. The adjacent walls effects in simplified thermal model of buildings. Energy Procedia. 2017; 122 ():619-624.
Chicago/Turabian StyleAli Bagheri; Véronique Feldheim; Dimitrios Thomas; Christos S. Ioakimidis. 2017. "The adjacent walls effects in simplified thermal model of buildings." Energy Procedia 122, no. : 619-624.
High energy demand in corporate and/or public buildings is nowadays one of the main reasons of excessive energy consumption. At the same time, electric vehicles (EVs) have become very popular worldwide being a considerable alternative power source when parked. In this work we propose a scheduling mechanism which optimizes the control of the charging-discharging schedule of an altered but finite number of EVs arriving at a university building for a typical load-day in February aiming at the minimization of the energy demand and the electricity cost of the building. In the aforementioned framework, a parallel operation of a small sized gas turbine generator (GGT) is considered. To this end, a mixed integer linear programing (MILP) model containing binary and continuous variables has been developed to optimize the control process and minimize energy cost. Results showed that the use of the EVs as an alternative energy source can significantly contribute to the reduction of the building's energy demand leading to important cost decrease. The exploitation of the energy produced by the GGT further contributed to the minimization of the total energy consumption of the building and the total electricity cost.
Dimitrios Thomas; Olivier Deblecker; Ali Bagheri; Christos S. Ioakimidis. A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine. 2016 IEEE International Smart Cities Conference (ISC2) 2016, 1 -6.
AMA StyleDimitrios Thomas, Olivier Deblecker, Ali Bagheri, Christos S. Ioakimidis. A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine. 2016 IEEE International Smart Cities Conference (ISC2). 2016; ():1-6.
Chicago/Turabian StyleDimitrios Thomas; Olivier Deblecker; Ali Bagheri; Christos S. Ioakimidis. 2016. "A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine." 2016 IEEE International Smart Cities Conference (ISC2) , no. : 1-6.
Buildings are one of the main energy consumer and carbon emission sources in European countries. Population growth in cities may be effective for economic growth, but by considering overpopulated cities, making new efficient buildings and optimizing energy consumption in older ones may be a good solution for energy management and carbon reduction in them. For doing this, one needs to collect buildings data for months to get an idea about the energy consumption in a building. On the other hand, computer simulations may not provide very accurate results, but they can give a crude idea about energy consumption in buildings. There are many different tools to simulate energy consumption in buildings, among all of them simplified models provide fast and accurate results. Developing building model based on lumped capacitance method by means of resistance-capacitance (RC) circuits provides good results and a comprehensive schematic about the heat transfer in the building. In this paper, the application of thermal networks for building load calculation is introduced and it will be shown how effectively it can be used in control systems to make a smart building.
Ali Bagheri; Veronique Feldheim; Dimitrios Thomas; Christos S. Ioakimidis. Coupling building thermal network and control system, the first step to smart buildings. 2016 IEEE International Smart Cities Conference (ISC2) 2016, 1 -6.
AMA StyleAli Bagheri, Veronique Feldheim, Dimitrios Thomas, Christos S. Ioakimidis. Coupling building thermal network and control system, the first step to smart buildings. 2016 IEEE International Smart Cities Conference (ISC2). 2016; ():1-6.
Chicago/Turabian StyleAli Bagheri; Veronique Feldheim; Dimitrios Thomas; Christos S. Ioakimidis. 2016. "Coupling building thermal network and control system, the first step to smart buildings." 2016 IEEE International Smart Cities Conference (ISC2) , no. : 1-6.