Optimal planning of energy resources in a small energy system under the smart home concept

2013 ◽  
Author(s):  
Mohammad Hassan Amirioun ◽  
Ahad Kazemi
Keyword(s):  
Smart Home ◽  
Energy System ◽  
Energy Resources ◽  
Optimal Planning ◽  
Small Energy

scholarly journals Optimal Scheduling of Hybrid Energy Resources for a Smart Home

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3201 ◽  
Author(s):  
Muhammad Rafique ◽  
Zunaib Haider ◽  
Khawaja Mehmood ◽  
Muhammad Saeed Uz Zaman ◽  
Muhammad Irfan ◽  
...  
Keyword(s):  
Smart Home ◽  
Storage System ◽  
Energy System ◽  
Energy Storage System ◽  
Optimal Scheduling ◽  
Energy Resources ◽  
Hybrid Energy ◽  
Real Coded Genetic Algorithm ◽  
Electrical Vehicle ◽  
Battery Energy

The present environmental and economic conditions call for the increased use of hybrid energy resources and, concurrently, recent developments in combined heat and power (CHP) systems enable their use at a domestic level. In this work, the optimal scheduling of electric and gas energy resources is achieved for a smart home (SH) which is equipped with a fuel cell-based micro-CHP system. The SH energy system has thermal and electrical loops that contain an auxiliary boiler, a battery energy storage system, and an electrical vehicle besides other typical loads. The optimal operational cost of the SH is achieved using the real coded genetic algorithm (RCGA) under various scenarios of utility tariff and availability of hybrid energy resources. The results compare different scenarios and point-out the conditions for economic operation of micro-CHP and hybrid energy systems for an SH.

scholarly journals Optimal Planning and Operation of a Residential Energy Community under Shared Electricity Incentives

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2045
Author(s):  
Pierpaolo Garavaso ◽  
Fabio Bignucolo ◽  
Jacopo Vivian ◽  
Giulia Alessio ◽  
Michele De Carli
Keyword(s):  
Renewable Energy ◽  
Power Distribution ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Distribution Networks ◽  
Building Envelope ◽  
Net Energy ◽  
Technical Equipment ◽  
Optimal Planning

Energy communities (ECs) are becoming increasingly common entities in power distribution networks. To promote local consumption of renewable energy sources, governments are supporting members of ECs with strong incentives on shared electricity. This policy encourages investments in the residential sector for building retrofit interventions and technical equipment renovations. In this paper, a general EC is modeled as an energy hub, which is deemed as a multi-energy system where different energy carriers are converted or stored to meet the building energy needs. Following the standardized matrix modeling approach, this paper introduces a novel methodology that aims at jointly identifying both optimal investments (planning) and optimal management strategies (operation) to supply the EC’s energy demand in the most convenient way under the current economic framework and policies. Optimal planning and operating results of five refurbishment cases for a real multi-family building are found and discussed, both in terms of overall cost and environmental impact. Simulation results verify that investing in building thermal efficiency leads to progressive electrification of end uses. It is demonstrated that the combination of improvements on building envelope thermal performances, photovoltaic (PV) generation, and heat pump results to be the most convenient refurbishment investment, allowing a 28% overall cost reduction compared to the benchmark scenario. Furthermore, incentives on shared electricity prove to stimulate higher renewable energy source (RES) penetration, reaching a significant reduction of emissions due to decreased net energy import.

scholarly journals Relationship between Sustainable Development of Branches of Fuel and Energy Complex and Growth GDP

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3760-3763 ◽  
Keyword(s):  
Regression Analysis ◽  
System Performance ◽  
World Economy ◽  
Energy System ◽  
Developed Countries ◽  
Energy Resources ◽  
Gdp Growth ◽  
The World ◽  
Cross Country ◽  
The Relationship

The article discusses the relationship between the development of fuel and energy Uzbekistan with GDP growth (gross domestic product). Data are provided on the forecast growth rates of the world economy, the average developed countries and Uzbekistan, factors for ensuring GDP growth in tandem with the efficiency of the use of fuel and energy resources. Based on the cross-country regression analysis, the model of the influence of the energy system performance index (EAPI) on GDP growth is shown.

scholarly journals Prospect of renewable energy resources in Bangladesh

2021 ◽  
Vol 12 (3) ◽  
pp. 1804
Author(s):  
Mohammad Mafizur Rahman ◽  
Feroza Begum
Keyword(s):  
Renewable Energy ◽  
Energy System ◽  
Living Standards ◽  
Energy Resources ◽  
Energy Access ◽  
Renewable Energy Resources ◽  
Comprehensive Understanding ◽  
Current State ◽  
Renewable Energy System ◽  
Stable Source

<span lang="EN-GB">The objective of this paper is to provide an overview of the current state of renewable energy resources in Bangladesh, as well as to examine various forms of renewable energies in order to gain a comprehensive understanding of how to address Bangladesh's power crisis issues in a sustainable manner. Electricity is currently the most useful kind of energy in Bangladesh. It has a substantial influence on a country's socioeconomic standing and living standards. Maintaining a stable source of energy at a cost that is affordable to everyone has been a constant battle for decades. Bangladesh is blessed with a wealth of natural resources. Bangladesh has a huge opportunity to accelerate its economic development while increasing energy access, livelihoods, and health for millions of people in a sustainable way due to the renewable energy system.</span>

scholarly journals Role of the national energy system modelling in the process of the policy development

2012 ◽  
Vol 16 (3) ◽  
pp. 703-715 ◽  
Author(s):  
Matevz Pusnik ◽  
Boris Sucic ◽  
Andreja Urbancic ◽  
Stane Merse
Keyword(s):  
System Analysis ◽  
Renewable Energy Sources ◽  
Research Work ◽  
Calculated Data ◽  
Energy Systems ◽  
Energy System ◽  
Alternative Possibilities ◽  
System Modelling ◽  
Small Energy ◽  
New Approach

Strategic planning and decision making, nonetheless making energy policies and strategies, is very extensive process and has to follow multiple and often contradictory objectives. During the preparation of the new Slovenian Energy Programme proposal, complete update of the technology and sector oriented bottom up model of Reference Energy and Environmental System of Slovenia (REES-SLO) has been done. During the redevelopment of the REES-SLO model trade-off between the simulation and optimisation approach has been done, favouring presentation of relations between controls and their effects rather than the elusive optimality of results which can be misleading for small energy systems. Scenario-based planning was integrated into the MESAP (Modular Energy System Analysis and Planning) environment, allowing integration of past, present and planned (calculated) data in a comprehensive overall system. Within the paper, the main technical, economic and environmental characteristics of the Slovenian energy system model REES-SLO are described. This paper presents a new approach in modelling relatively small energy systems which goes beyond investment in particular technologies or categories of technology and allows smooth transition to low carbon economy. Presented research work confirms that transition from environment unfriendly fossil fuelled economy to sustainable and climate friendly development requires a new approach, which must be based on excellent knowledge of alternative possibilities of development and especially awareness about new opportunities in exploitation of energy efficiency and renewable energy sources.

Optimal Planning and Operation of Distribution Systems Considering Distributed Energy Resources and Automatic Reclosers

2018 ◽  
Vol 16 (1) ◽  
pp. 126-134 ◽  
Author(s):  
Luis Fernando Grisales ◽  
Oscar Danilo Montoya ◽  
Alejandro Grajales ◽  
Ricardo Alberto Hincapie ◽  
Mauricio Granada
Keyword(s):  
Distribution Systems ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Optimal Planning ◽  
Distributed Energy ◽  
Planning And Operation

Optimum sizing and simulation of hybrid renewable energy system for remote area

2021 ◽  
pp. 0958305X2110301
Author(s):  
Animesh Masih ◽  
HK Verma
Keyword(s):  
Renewable Energy ◽  
Reliability Index ◽  
Energy System ◽  
Energy Resources ◽  
Total System ◽  
Renewable Energy Resources ◽  
Optimal Sizing ◽  
Remote Areas ◽  
Grasshopper Optimization Algorithm ◽  
Hybrid Renewable Energy

In current scenario, people tend to move towards outskirts and like to settle in places that are close to nature. But, due to urban lifestyle and to fulfill the basic needs, demand of electricity remains the same as in urban areas. This demand of electricity can be only fulfilled by using hybrid renewable energy resources, which is easily available in outskirts. Renewable energy resources are unreliable and more expensive. Researchers are working to make, it more reliable and economic in terms of utilization. This article proposes a metaheuristic grasshopper optimization algorithm (GOA) for the optimal sizing of hybrid PV/wind/battery energy system located in remote areas. The proposed algorithm finds the optimal sizing and configuration of remote village load demand that includes house electricity and agriculture. The optimization problem is solved by minimization of total system cost at a desirable level of loss of power supply’s reliability index (LPSRI). The results of GOA are compared with particle swarm optimization (PSO), genetic algorithm (GA) and hybrid optimization of multiple energy resources (HOMER) software. In addition, results are also validated by modeling and simulation of the hybrid energy system and its configurations at different weather conditions-based results. Hybrid PV/wind/battery is found as an optimal system at remote areas and sizing are[Formula: see text] with cost of energy (COE) (0.3473$/kWh) and loss of power supplies reliability index (LPSRI) (0%). It is clear from the results that GOA based methods are more efficient for selection of optimal energy system configuration as compared to others algorithms.

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