Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home

Kang, Byeongkwan; Jang, Kyuhee; Park, Sounghoan; Choi, Myeong-in; Park, Sehyun

doi:10.3390/su10010236

Cited by 7 publications

(4 citation statements)

References 32 publications

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“…Energy production obtained during supply peaks can be saved and deployed during demand peaks. This consideration is relevant for residential users, because their consumption has fluctuations during the day [26]. This permits to design and schedule the integrated plant also in island-mode (i.e., disconnected from the grid) [27].…”

Section: Literature Reviewmentioning

confidence: 99%

Solar Photovoltaic Panels Combined with Energy Storage in a Residential Building: An Economic Analysis

et al. 2018

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Renewable energy is a wide topic in environmental engineering and management science. Photovoltaic (PV) power has had great interest and growth in recent years. The energy produced by the PV system is intermittent and it depends on the weather conditions, presenting lower levels of production than other renewable resources (RESs). The economic feasibility of PV systems is linked typically to the share of self-consumption in a developed market and consequently, energy storage system (ESS) can be a solution to increase this share. This paper proposes an economic feasibility of residential lead-acid ESS combined with PV panels and the assumptions at which these systems become economically viable. The profitability analysis is conducted on the base of the Discounted Cash Flow (DCF) method and the index used is Net Present Value (NPV). The analysis evaluates several scenarios concerning a 3-kW plant located in a residential building in a PV developed market (Italy). It is determined by combinations of the following critical variables: levels of insolation, electricity purchase prices, electricity sales prices, investment costs of PV systems, specific tax deduction of PV systems, size of batteries, investment costs of ESS, lifetime of a battery, increases of self-consumption following the adoption of an ESS, and subsidies of ESS. Results show that the increase of the share of self-consumption is the main critical variable and consequently, the break-even point (BEP) analysis defines the case-studies in which the profitability is verified.

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Section: Literature Reviewmentioning

confidence: 99%

Solar Photovoltaic Panels Combined with Energy Storage in a Residential Building: An Economic Analysis

et al. 2018

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“…Sahu presented an overview on current developments of wind energy, potentials, mismatching between the generating power, and installed capacities and future prospectus in China [29]. The second stream studies innovation and the improvement of key technologies to improve power generation, grid-connection, and wind-power consumption abilities [30][31][32][33][34][35][36][37]. Lina Alhmoud and Bingsen Wang reviewed the present situation of wind-energy reliability analyses [38].…”

Section: Literature Surveymentioning

confidence: 99%

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

et al. 2018

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Sustainable energy development has gained worldwide attention, in part thanks to the wind power industry value chain that focuses on overall value creation and innovation, especially in China. This paper aims to construct a wind power industry value chain model and comprehensively analyze factors that have significant influences on it using a modified diamond model, which has remained nebulous. Focused on the value-adding effect of constructed value chains, we offer key ideas from different angles. A factor condition lays the foundation of the value chain, and shows that China is experiencing energy structure adjustment in which wind power will play a key role; its resource potential is huge, but with mismatched distribution. Demand conditions reveal an increasing demand for wind but serious wind rejection as well; this is where the value-adding probability exists. Related and support departments collaborate to determine the overall value creation process. Firm strategy, structure, and rivalry are terms that describe possible value-adding subjects considering the wind industry as a whole. Government and opportunity provide robust prices and non-price policies to support value integration, and Technology is an effective factor in cost reduction and value creation as a high value-adding sector. Furthermore, a comparison of wind power industry value chains in China and Japan is conducted. Our findings underscore that a gap exists between actual performance and the expected wind power industry value chain, and corresponding measurements to promote the performance are discussed, including encouraging diversified business models, enhancing R&D and independent innovation, professional cultivation, effectively reducing wind rejection rate, and the full range of government support.

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“…For example, there are only discussions on the impact of spatial heterogeneity on energy efficiency [3,4], energy saving and emission reduction of urban agglomerations [5,6], inter-regional energy flows [7], and energy consumption structure of urban agglomerations [8]. Meanwhile, the research in the field of smart energy systems mainly focuses on spatial scopes of the nation [9,10], city [11][12][13], industrial park [14,15], and household [16], while none of them involves the spatial scope of urban agglomeration. Therefore, there is a lack of basic concepts and scientific evidence to explain how to build smart energy systems within the spatial scope of urban agglomerations.…”

Section: Introductionmentioning

confidence: 99%

Smart Energy Urban Agglomerations in China: The Driving Mechanism, Basic Concepts, and Indicator Evaluation

et al. 2023

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The development of urban agglomerations and smart energy systems in China are tightly connected. However, basic concepts of this interdisciplinary connection are still lacking. To fill this gap, this paper proposed an item of “Smart Energy Urban Agglomeration” (SEUA), and studied its driving mechanism, basic concepts in China, and indicator evaluation of typical urban agglomerations. Firstly, by a theorical analysis, the driving mechanism of SEUA was concluded as of “internal and external driven by two axes”, whereas national policies and cities’ spontaneity are external and internal driving forces, and two axes are urban planning and energy system integration. Secondly, using system approaches, its concept connotation, development barriers, and action suggestions were proposed based on China’s conditions. Thirdly, an indicator evaluation based on the driving mechanism was carried out to reveal the differences of four urban agglomerations, with relevant explanations. The results indicated that the Yangtze River Delta had the highest level of SEUA development because of its good performance in both axes. Meanwhile, the cities’ spontaneity had a stronger driving force than national policies. Therefore, it is urgent for China’s government to integrate the urban and energy planning among cities in urban agglomerations.

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Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home

Cited by 7 publications

References 32 publications

Solar Photovoltaic Panels Combined with Energy Storage in a Residential Building: An Economic Analysis

Solar Photovoltaic Panels Combined with Energy Storage in a Residential Building: An Economic Analysis

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

Smart Energy Urban Agglomerations in China: The Driving Mechanism, Basic Concepts, and Indicator Evaluation

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