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To realize an efficient energy supply system for an isolated microgrid, a joint design framework that considered the capacity sizing alongside operational planning is essential. In this work, an integrated planning model was developed to investigate the techno-economic performances of a high renewable energy-based standalone microgrid. The approach combines capacity sizing and operation scheduling, considering demand-side management strategies for different system design scenarios. The evaluated scenarios involved the combination of wind turbine, photovoltaic system, diesel generator, with either battery energy storage or pumped thermal energy storage. A demand response program based on instantaneous renewable energy availability is proposed with dynamic pricing economic model for improving the overall system flexibility. Mixed-integer linear programming algorithm on MATLAB® is deployed as the optimization solver. The minimization of the sum of system costs which includes equivalent annual costs of the investments, running costs and costs based on demand-side management strategies is the objective function. The combination of photovoltaic, wind turbine and pumped thermal energy storage is found to be the most techno-economically efficient system configuration for the considered microgrid. More so, the proposed demand response strategy minimizes the mismatch between the generation and the load demand profile effectively, thereby increasing the system flexibility.
Mark Kipngetich Kiptoo; Mohammed Elsayed Lotfy; Oludamilare Bode Adewuyi; Abdul Conteh; Abdul Motin Howlader; Tomonobu Senjyu. Integrated approach for optimal techno-economic planning for high renewable energy-based isolated microgrid considering cost of energy storage and demand response strategies. Energy Conversion and Management 2020, 215, 112917 .
AMA StyleMark Kipngetich Kiptoo, Mohammed Elsayed Lotfy, Oludamilare Bode Adewuyi, Abdul Conteh, Abdul Motin Howlader, Tomonobu Senjyu. Integrated approach for optimal techno-economic planning for high renewable energy-based isolated microgrid considering cost of energy storage and demand response strategies. Energy Conversion and Management. 2020; 215 ():112917.
Chicago/Turabian StyleMark Kipngetich Kiptoo; Mohammed Elsayed Lotfy; Oludamilare Bode Adewuyi; Abdul Conteh; Abdul Motin Howlader; Tomonobu Senjyu. 2020. "Integrated approach for optimal techno-economic planning for high renewable energy-based isolated microgrid considering cost of energy storage and demand response strategies." Energy Conversion and Management 215, no. : 112917.
Sustainable energy transition is generally understood as a concept of developing robust, effective and efficient energy sectors in a particular country or region without compromising the present and future socio-environmental security. In view of this, several countries have made remarkable efforts towards achieving this all-important objective in compliance with modern energy needs and supply requirements. Over half of the reported impoverished people globally reside in the sub-Saharan Africa (SSA) region and a sizeable portion of these people (up to 400 million) live in Nigeria, being the most populated country in Africa. The economic growth and social development of any nation depend remarkably on the sufficiency of its energy sector. Thus, the realization of the Sustainable Development Goals (SDGs) comes the year 2030, as projected by the united nations, in Nigeria and the entire SSA region depends heavily on energy. In this study, the importance of an equitable right to sustainable energy adoption in Nigeria and other countries in Africa towards meeting United Nations SDG’s deadline has been succinctly discussed. The reform activities towards improving the energy sector of Nigeria are discussed and appropriate recommendations are made taking clues from other developing countries’ successful energy transition efforts.
Oludamilare Bode Adewuyi; Mark Kipngetich Kiptoo; Ayodeji Fisayo Afolayan; Theophilus Amara; Oluwatobi Idowu Alawode; Tomonobu Senjyu. Challenges and prospects of Nigeria’s sustainable energy transition with lessons from other countries’ experiences. Energy Reports 2020, 6, 993 -1009.
AMA StyleOludamilare Bode Adewuyi, Mark Kipngetich Kiptoo, Ayodeji Fisayo Afolayan, Theophilus Amara, Oluwatobi Idowu Alawode, Tomonobu Senjyu. Challenges and prospects of Nigeria’s sustainable energy transition with lessons from other countries’ experiences. Energy Reports. 2020; 6 ():993-1009.
Chicago/Turabian StyleOludamilare Bode Adewuyi; Mark Kipngetich Kiptoo; Ayodeji Fisayo Afolayan; Theophilus Amara; Oluwatobi Idowu Alawode; Tomonobu Senjyu. 2020. "Challenges and prospects of Nigeria’s sustainable energy transition with lessons from other countries’ experiences." Energy Reports 6, no. : 993-1009.
The need for innovative pathways for future zero-emission and sustainable power development has recently accelerated the uptake of variable renewable energy resources (VREs). However, integration of VREs such as photovoltaic and wind generators requires the right approaches to design and operational planning towards coping with the fluctuating outputs. This paper investigates the technical and economic prospects of scheduling flexible demand resources (FDRs) in optimal configuration planning of VRE-based microgrids. The proposed demand-side management (DSM) strategy considers short-term power generation forecast to efficiently schedule the FDRs ahead of time in order to minimize the gap between generation and load demand. The objective is to determine the optimal size of the battery energy storage, photovoltaic and wind systems at minimum total investment costs. Two simulation scenarios, without and with the consideration of DSM, were investigated. The random forest algorithm implemented on scikit-learn python environment is utilized for short-term power prediction, and mixed integer linear programming (MILP) on MATLAB® is used for optimum configuration optimization. From the simulation results obtained here, the application of FDR scheduling resulted in a significant cost saving of investment costs. Moreover, the proposed approach demonstrated the effectiveness of the FDR in minimizing the mismatch between the generation and load demand.
Mark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Theophilus Amara; Keifa Vamba Konneh; Tomonobu Senjyu. Assessing the Techno-Economic Benefits of Flexible Demand Resources Scheduling for Renewable Energy–Based Smart Microgrid Planning. Future Internet 2019, 11, 219 .
AMA StyleMark Kipngetich Kiptoo, Oludamilare Bode Adewuyi, Mohammed Elsayed Lotfy, Theophilus Amara, Keifa Vamba Konneh, Tomonobu Senjyu. Assessing the Techno-Economic Benefits of Flexible Demand Resources Scheduling for Renewable Energy–Based Smart Microgrid Planning. Future Internet. 2019; 11 (10):219.
Chicago/Turabian StyleMark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Theophilus Amara; Keifa Vamba Konneh; Tomonobu Senjyu. 2019. "Assessing the Techno-Economic Benefits of Flexible Demand Resources Scheduling for Renewable Energy–Based Smart Microgrid Planning." Future Internet 11, no. 10: 219.
The need for energy and environmental sustainability has spurred investments in renewable energy technologies worldwide. However, the flexibility needs of the power system have increased due to the intermittent nature of the energy sources. This paper investigates the prospects of interlinking short-term flexibility value into long-term capacity planning towards achieving a microgrid with a high renewable energy fraction. Demand Response Programs (DRP) based on critical peak and time-ahead dynamic pricing are compared for effective demand-side flexibility management. The system components include PV, wind, and energy storages (ESS), and several optimal component-sizing scenarios are evaluated and compared using two different ESSs without and with the inclusion of DRP. To achieve this, a multi-objective problem which involves the simultaneous minimization of the loss of power supply probability (LPSP) index and total life-cycle costs is solved under each scenario to investigate the most cost-effective microgrid planning approach. The time-ahead resource forecast for DRP was implemented using the scikit-learn package in Python, and the optimization problems are solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm in MATLAB®. From the results, the inclusion of forecast-based DRP and PHES resulted in significant investment cost savings due to reduced system component sizing.
Mark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Tomonobu Senjyu; Paras Mandal; Mamdouh Abdel-Akher. Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management. Applied Sciences 2019, 9, 3855 .
AMA StyleMark Kipngetich Kiptoo, Oludamilare Bode Adewuyi, Mohammed Elsayed Lotfy, Tomonobu Senjyu, Paras Mandal, Mamdouh Abdel-Akher. Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management. Applied Sciences. 2019; 9 (18):3855.
Chicago/Turabian StyleMark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Tomonobu Senjyu; Paras Mandal; Mamdouh Abdel-Akher. 2019. "Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management." Applied Sciences 9, no. 18: 3855.
Like in most developing countries, meeting the load demand and reduction in transmission grid bottlenecks remains a significant challenge for the power sector in Sierra Leone. In recent years, research attention has shifted to demand response (DR) programs geared towards improving the supply availability and quality of energy markets in developed countries. However, very few studies have discussed the implementation of suitable DR programs for developing countries, especially when utilizing renewable energy (RE) resources. In this paper, using the Freetown’s peak load demand data and the price elasticity concept, the interruptible demand response (DR) program has been considered for maximum demand index (MDI) customers. Economic analysis of the energy consumption, customer incentives, benefits, penalties and the impact on the load demand are analyzed, with optimally designed energy management for grid-integrated battery energy storage system (BESS) and photovoltaic (PV)-hybrid system using the genetic algorithm (GA). Five scenarios are considered to confirm the effectiveness and robustness of the proposed scheme. The results show the economic superiority of the proposed DR program’s approach for both customers and supplier benefits. Moreover, RE inclusion proved to be a practical approach over the project lifespan, compared to the diesel generation alternative.
Abdul Conteh; Mohammed Elsayed Lotfy; Kiptoo Mark Kipngetich; Tomonobu Senjyu; Paras Mandal; Shantanu Chakraborty. An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone. Sustainability 2019, 11, 2828 .
AMA StyleAbdul Conteh, Mohammed Elsayed Lotfy, Kiptoo Mark Kipngetich, Tomonobu Senjyu, Paras Mandal, Shantanu Chakraborty. An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone. Sustainability. 2019; 11 (10):2828.
Chicago/Turabian StyleAbdul Conteh; Mohammed Elsayed Lotfy; Kiptoo Mark Kipngetich; Tomonobu Senjyu; Paras Mandal; Shantanu Chakraborty. 2019. "An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone." Sustainability 11, no. 10: 2828.