Toward a Sustainable Low-Carbon China: A Review of the Special Issue of “Energy Economics and Management”

Zhang, Ning; Wang, Bing

doi:10.3390/su8080823

Cited by 8 publications

(9 citation statements)

References 24 publications

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“…Hence, since the ESDS algorithm could minimize Y t a,r , then it can also be used to obtain reduced grid energy consumption, energy price, and expenditure for RTP consumers also. The ESDS contributes to the sustainability of the grid and environment by reducing peak energy demand from the grid [16] and offering a low carbon footprint [17]. The computational complexity involved in the ESDS algorithm is not beyond what can be solved in polynomial real time with an average computational time of 1.15 s depending on computer configuration.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Hence, since the ESDS algorithm could minimize , , then it can also be used to obtain reduced grid energy consumption, energy price, and expenditure for RTP consumers also. The ESDS contributes to the sustainability of the grid and environment by reducing peak energy demand from the grid [16] and offering a low carbon footprint [17].…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…The per-timeslot demand, Y t a,r , and total daily demand, Y a,r , from the grid are given by (17) and (18):…”

Section: Grid Energy Consumption Modelmentioning

confidence: 99%

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Distributed Demand Side Management with Battery Storage for Smart Home Energy Scheduling

et al. 2017

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Abstract:The role of Demand Side Management (DSM) with Distributed Energy Storage (DES) has been gaining attention in recent studies due to the impact of the latter on energy management in the smart grid. In this work, an Energy Scheduling and Distributed Storage (ESDS) algorithm is proposed to be installed into the smart meters of Time-of-Use (TOU) pricing consumers possessing in-home energy storage devices. Source of energy supply to the smart home appliances was optimized between the utility grid and the DES device depending on energy tariff and consumer demand satisfaction information. This is to minimize consumer energy expenditure and maximize demand satisfaction simultaneously. The ESDS algorithm was found to offer consumer-friendly and utility-friendly enhancements to the DSM program such as energy, financial, and investment savings, reduced/eliminated consumer dissatisfaction even at peak periods, Peak-to-Average-Ratio (PAR) demand reduction, grid energy sustainability, socio-economic benefits, and other associated benefits such as environmental-friendliness.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Simulation Results and Discussionmentioning

confidence: 99%

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Distributed Demand Side Management with Battery Storage for Smart Home Energy Scheduling

et al. 2017

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“…In addition, to reduce emissions in China, we should focus on energy structure optimization and efficiency improvement, and build up the low-carbon oriented household energy system [87,88]. Figure B1.…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing the Spatial Difference in Household Energy Consumption in China

Ding

Niu

et al. 2016

Sustainability

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Abstract:What factors determine the spatial heterogeneity of household energy consumption (HEC) in China? Can the impacts of these factors be quantified? What are the trends and characteristics of the spatial differences? To date, these issues are still unclear. Based on the STIRPAT model and panel dataset for 30 provinces in China over the period 1997-2013, this paper investigated influences of the income per capita, urbanization level and annual average temperature on HEC, and revealed the spatial effects of these influencing factors. The results show that the income level is the main influencing factor, followed by the annual average temperature. There exists a diminishing marginal contribution with increasing income. The influence of urbanization level varies according to income level. In addition, from the eastern region to western region of China, variances largely depend upon economic level at the provincial level. From the northern region to southern region, change is mainly caused by temperature. The urbanization level has more significant impact on the structure and efficiency of household energy consumption than on its quantity. These results could provide reference for policy making and energy planning.

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“…The agreement came into force on 4 November 2016. The agreement sets out a comprehensive action plan, which aims to put the world on track to avoid dangerous climate change by limiting global warming below 2 • C. Indeed, the warming of the climate system is perceived as unequivocal, as it is clear for instance from the observation of the increase in global average air and ocean temperatures and the rising average sea levels [49][50][51][52][53]. In particular, according to the COP21, governments have agreed to make sure that global emissions have to peak as soon as possible, while recognizing that developing countries will need more time, and then proceed to rapid emissions reductions in accordance with the most advanced scientific solutions available.…”

Section: The Future Of Energy Carriersmentioning

confidence: 99%

A Note on Medium- and Long-Term Global Energy Prospects and Scenarios

et al. 2017

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Abstract:The paper presents recent and future trends of the world energy market, as highlighted by medium-and long-term projections. Energy demand and energy consumptions projected by IEA (International Energy Agency) are examined, in comparison with projections provided by other international agencies and companies in the energy sector. In particular, energy resources, energy consumption and economic growth both in developing and developed countries are presented, with a particular attention to the role of energy efficiency, nuclear power, unconventional fossil resources and renewable energies. Sustainable development issues, according to the global climate agreement signed at COP21, are also presented. The outlook period extends up to 2040. The results confirm a worldwide interest in renewable and unconventional resources for the forthcoming decades, as well as efforts to increase the energy efficiency potential in all end-use sectors to reduce the overall environmental impact of energy production.

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Toward a Sustainable Low-Carbon China: A Review of the Special Issue of “Energy Economics and Management”

Cited by 8 publications

References 24 publications

Distributed Demand Side Management with Battery Storage for Smart Home Energy Scheduling

Distributed Demand Side Management with Battery Storage for Smart Home Energy Scheduling

Factors Influencing the Spatial Difference in Household Energy Consumption in China

A Note on Medium- and Long-Term Global Energy Prospects and Scenarios

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