scholarly journals Towards Cost Minimization With Renewable Energy Sharing in Cooperative Residential Communities

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 11688-11699 ◽  
Author(s):  
Guoqiao Ye ◽  
Gaoxiang Li ◽  
Di Wu ◽  
Xu Chen ◽  
Yipeng Zhou
Keyword(s):  
Renewable Energy ◽  
Cost Minimization ◽  
Residential Communities ◽  
Energy Sharing

scholarly journals Self-Sufficiency and Energy Savings of Renewable Thermal Energy Systems for an Energy-Sharing Community

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4284
Author(s):  
Min-Hwi Kim ◽  
Youngsub An ◽  
Hong-Jin Joo ◽  
Dong-Won Lee ◽  
Jae-Ho Yun
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Energy Systems ◽  
Hot Water ◽  
Pump System ◽  
Ground Source Heat Pumps ◽  
Self Sufficiency ◽  
Energy Sharing

Due to increased grid problems caused by renewable energy systems being used to realize zero energy buildings and communities, the importance of energy sharing and self-sufficiency of renewable energy also increased. In this study, the energy performance of an energy-sharing community was investigated to improve its energy efficiency and renewable energy self-sufficiency. For a case study, a smart village was selected via detailed simulation. In this study, the thermal energy for cooling, heating, and domestic hot water was produced by ground source heat pumps, which were integrated with thermal energy storage (TES) with solar energy systems. We observed that the ST system integrated with TES showed higher self-sufficiency with grid interaction than the PV and PVT systems. This was due to the heat pump system being connected to thermal energy storage, which was operated as an energy storage system. Consequently, we also found that the ST system had a lower operating energy, CO2 emissions, and operating costs compared with the PV and PVT systems.

scholarly journals Renewable Energy Sharing Among Base Stations as a Min-Cost-Max-Flow Optimization Problem

2019 ◽  
Vol 3 (1) ◽  
pp. 67-78 ◽  
Author(s):  
Doris Benda ◽  
Xiaoli Chu ◽  
Sumei Sun ◽  
Tony Q. S. Quek ◽  
Alastair Buckley
Keyword(s):  
Renewable Energy ◽  
Optimization Problem ◽  
Base Stations ◽  
Flow Optimization ◽  
Energy Sharing

Designing Optimal Arbitrage Policies for Distributed Energy Systems in Building Clusters Using Reinforcement Learning

2019 ◽  
Author(s):  
Philip Odonkor ◽  
Kemper Lewis
Keyword(s):  
Renewable Energy ◽  
Reinforcement Learning ◽  
Electricity Markets ◽  
Energy Cost ◽  
Cost Minimization ◽  
Control Strategies ◽  
Cost Savings ◽  
Price Volatility ◽  
Maximization Problem ◽  
Distributed Energy

Abstract In the wake of increasing proliferation of renewable energy and distributed energy resources (DERs), grid designers and operators alike are faced with several emerging challenges in curbing allocative grid inefficiencies and maintaining operational stability. One such challenge relates to the increased price volatility within real-time electricity markets, a result of the inherent intermittency of renewable energy. With this challenge, however, comes heightened economic interest in exploiting the arbitrage potential of price volatility towards demand-side energy cost savings. To this end, this paper aims to maximize the arbitrage value of electricity through the optimal design of control strategies for DERs. Formulated as an arbitrage maximization problem using design optimization, and solved using reinforcement learning, the proposed approach is applied towards shared DERs within multi-building residential clusters. We demonstrate its feasibility across three unique building cluster demand profiles, observing notable energy cost reductions over baseline values. This highlights a capability for generalized learning across multiple building clusters and the ability to design efficient arbitrage policies towards energy cost minimization. Finally, the approach is shown to be computationally tractable, designing efficient strategies in approximately 5 hours of training over a simulation time horizon of 1 month.

Evaluation of Optimal Designs for Hybrid Renewable Energy Systems Specific to Residential Communities in Saudi Arabia

2018 ◽  
Author(s):  
Ammar H. A. Dehwah ◽  
Moncef Krarti
Keyword(s):  
Saudi Arabia ◽  
Renewable Energy ◽  
Peak Load ◽  
Energy Systems ◽  
Cost Effective ◽  
Eastern Region ◽  
Renewable Energy Systems ◽  
Hybrid Renewable Energy Systems ◽  
Residential Communities ◽  
Hybrid Renewable Energy

To meet the increasing energy demand and to shave the peak, the Kingdom of Saudi Arabia (KSA) is currently planning to invest more on renewable energy (RE) seeking diversity of energy resources. Through the integration of demand side management measures and renewable energy distributed generation (DG) systems, the study outlined in this paper aims at investigating the potential of hybrid renewable energy systems in supplying energy demands for residential communities in an oil-rich country. The residential community considered in this study, located in the eastern region of KSA, has an annual electrical usage of 1,174 GWh and an electrical peak load of 335 MW that are met solely by the grid. The results of the analyses indicated that the implementation of cost-effective energy efficiency measures (EEMs) reduced electricity usage by 38% and peak demand by 51% as well as CO2 emissions by 38%. While, the analysis of the hybrid systems showed that purchasing electricity from the grid is the best option with a levelized cost of energy (LCOE) of $0.1/kWh based on the current renewable energy market and economic conditions of KSA, RE systems can be cost-effective to meet the loads of the residential communities under specific electricity prices and capital cost levels. This study can assist KSA decision makers establish effective and targeted policies that can facilitate and promote renewable technologies.

scholarly journals Renewable Energy-Aware Sustainable Cellular Networks with Load Balancing and Energy-Sharing Technique

2020 ◽  
Vol 12 (22) ◽  
pp. 9340
Author(s):  
Md. Sanwar Hossain ◽  
Khondoker Ziaul Islam ◽  
Abu Jahid ◽  
Khondokar Mizanur Rahman ◽  
Sarwar Ahmed ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Load Balancing ◽  
Outage Probability ◽  
Cellular Networks ◽  
Renewable Energy Sources ◽  
Green Energy ◽  
Solar Pv ◽  
Wide Range ◽  
Energy Sharing

With the proliferation of cellular networks, the ubiquitous availability of new-generation multimedia devices, and their wide-ranging data applications, telecom network operators are increasingly deploying the number of cellular base stations (BSs) to deal with unprecedented service demand. The rapid and radical deployment of the cellular network significantly exerts energy consumption and carbon footprints to the atmosphere. The ultimate objective of this work is to develop a sustainable and environmentally-friendly cellular infrastructure through compelling utilization of the locally available renewable energy sources (RES) namely solar photovoltaic (PV), wind turbine (WT), and biomass generator (BG). This article addresses the key challenges of envisioning the hybrid solar PV/WT/BG powered macro BSs in Bangladesh considering the dynamic profile of the RES and traffic intensity in the tempo-spatial domain. The optimal system architecture and technical criteria of the proposed system are critically evaluated with the help of HOMER optimization software for both on-grid and off-grid conditions to downsize the electricity generation cost and waste outflows while ensuring the desired quality of experience (QoE) over 20 years duration. Besides, the green energy-sharing mechanism under the off-grid condition and the grid-tied condition has been critically analyzed for optimal use of green energy. Moreover, the heuristic algorithm of the load balancing technique among collocated BSs has been incorporated for elevating the throughput and energy efficiency (EE) as well. The spectral efficiency (SE), energy efficiency, and outage probability performance of the contemplated wireless network are substantially examined using Matlab based Monte–Carlo simulation under a wide range of network configurations. Simulation results reveal that the proper load balancing technique pledges zero outage probability with expected system performance whereas energy cooperation policy offers an attractive solution for developing green mobile communications employing better utilization of renewable energy under the proposed hybrid solar PV/WT/BG scheme.

Optimal Hybrid Power Energy Systems for Residential Communities in Saudi Arabia

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
Ammar H. A. Dehwah ◽  
Moncef Krarti
Keyword(s):  
Saudi Arabia ◽  
Renewable Energy ◽  
Energy Demand ◽  
Peak Load ◽  
Energy Systems ◽  
Cost Effective ◽  
Eastern Region ◽  
Residential Communities ◽  
Efficiency Measures ◽  
Cost Of Energy

To meet the increasing energy demand and to shave the peak, the Kingdom of Saudi Arabia (KSA) is currently planning to invest more on renewable energy (RE) seeking diversity of energy resources. Through the integration of demand-side management measures and renewable energy distributed generation (DG) systems, the study outlined in this paper aims at investigating the potential of hybrid renewable energy systems in supplying energy demands for residential communities in an oil-rich country. The residential community considered in this study, located in the eastern region of KSA, has an annual electrical usage of 1174 GWh and an electrical peak load of 335 MW that are met solely by the grid. The results of the analyses indicated that the implementation of cost-effective energy efficiency measures (EEMs) reduced the electricity usage by 38% and peak demand by 51% as well as CO2 emissions by 38%. Although the analysis of the hybrid systems showed that purchasing electricity from the grid is the best option with a levelized cost of energy (LCOE) of $0.1/kWh based on the current renewable energy market and economic conditions of KSA, RE systems can be cost-effective to meet the loads of the residential communities under specific electricity prices and capital cost levels.

Online Pricing for Efficient Renewable Energy Sharing in a Sustainable Microgrid

2017 ◽  
Author(s):  
Tong Liu ◽  
Yanmin Zhu ◽  
Hongzi Zhu ◽  
Jiadi Yu ◽  
Yuanyuan Yang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Online Pricing ◽  
Energy Sharing

Design of Carbon-Neutral Residential Communities in Kuwait

2017 ◽  
Vol 139 (3) ◽  
Author(s):  
Baqer Ameer ◽  
Moncef Krarti
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Wind Turbines ◽  
Renewable Energy Technologies ◽  
Energy Efficiency Measures ◽  
Energy Technologies ◽  
Residential Communities ◽  
Efficiency Measures ◽  
Energy Needs ◽  
Carbon Neutral

In this paper, a general methodology for designing carbon-neutral residential communities is presented. Both energy efficiency measures and renewable energy technologies are considered in the design approach. First, energy end-uses for the buildings within the community are optimized based on a set of cost-effective energy efficiency measures that are selected based on a life-cycle cost analysis. Then, renewable energy technologies are considered to meet the energy needs for the residential community and ensure carbon-neutrality on an annual basis. The methodology is applied to design optimal and carbon-neutral hybrid electrical generation systems for three Kuwaiti residential communities with different sizes and energy efficiency designs. For Kuwait, it is found that wind turbines can cost-effectively generate significant electricity to meet most of the energy needs for the residential communities and thus reducing the country's reliance on fuel-based power plants. Specifically, it is found that wind turbines can generate electricity at a cost of $0.068/kWh well below the current grid power production costs of $0.103/kWh. Moreover, the analysis indicates that concentrated solar power (CSP) can be utilized to achieve carbon-neutral residential communities but at a levelized energy cost of $0.13/kWh slightly lower than the current grid power generation and distribution costs of $0.133/kWh.

scholarly journals Optimal Economic Dispatch of Grid-Interactive Renewable Prosumers with Hybrid Storage and Peer to Peer Energy Sharing Capabilities

2021 ◽  
pp. 209-216
Author(s):  
Kanzumba Kusakana ◽  
Keyword(s):  
Renewable Energy ◽  
Energy Cost ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Peer To Peer ◽  
Hybrid Storage ◽  
Hybrid Energy ◽  
Power Dispatch ◽  
Energy Sharing

Currently, there is few research works focusing on the optimal power dispatch of hybrid renewable energy systems operating in conjunction with hybrid energy storage systems, precisely the combination of pumped hydro storage and battery storage systems. Moreover, there is a lack of studies that focusing on analysing the potential energy cost reduction resulting from the economic power dispatch applied to hybrid energy systems combining grid-interactive renewable energy sources with hybrid energy storages under the peer to peer energy sharing scheme. Given the fact that each of these concepts has the potential benefit of reducing the operation energy cost; this study proposes an optimal energy management model of two grid-interactive prosumers operating in a peer to peer energy sharing mode to supply the loads both from the hybrid renewable sources and hybrid storage systems whilst minimizing the cost of energy purchased from the national grid. Simulation were conducted using different scenarios linked to the internal power sharing pricing structures. The results showed that the proposed arrangement has the potential to reduce substantial energy cost; decrease the reliance of the prosumer from the grid as well as reducing the need of having a larger storage.

Optimization of Hybrid Renewable Energy System (HRES) Using Modified Evolutionary Strategy for Cost Minimization

2015 ◽  
Vol 785 ◽  
pp. 546-550
Author(s):  
Ahmad Syazwan Aznan ◽  
Ismail Musirin ◽  
Siti Aliyah Mohd Saleh ◽  
Nur Azzammudin Rahmat
Keyword(s):  
Renewable Energy ◽  
Distribution System ◽  
Cost Minimization ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Evolutionary Strategy ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
The Cost ◽  
Hybrid Renewable Energy

Recently, renewable energy has been in place to cater the depreciation of main energy. The presence of renewable energy sources can be made in hybrid to satisfy the demand in the distribution system. Nevertheless, the growth in number for renewable energy could lead to cost increment. This paper presents the optimization process of Hybrid Renewable Energy System (HRES) using Modified Evolutionary Strategy (ES) technique for cost minimization. The study involves the development of optimization engine for modified ES in order to solve the cost minimization of HRES. The improved version of ES is expected to address the computation burden experienced by the traditional ES technique. Results obtained from the implementation of the modified ES managed to reveal that its implementation is worth in terms of minimizing the cost

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