The Experts below are selected from a list of 285 Experts worldwide ranked by ideXlab platform

Jayashri Ravishankar - One of the best experts on this subject based on the ideXlab platform.

  • Computational tools for design, analysis, and management of Residential Energy systems
    Applied Energy, 2018
    Co-Authors: Khizir Mahmud, Uzma Amin, Jahangir Hossain, Jayashri Ravishankar
    Abstract:

    Abstract Selecting an appropriate software tool for a particular Energy-management system is a challenging task as there is little information available and several software tools to pick from. Each tool has its own strengths and limitations, and making a right choice is critical for accurate and feasible analyses. This paper reviews more than one hundred simulation software packages that are useful for Residential-Energy-management system analysis. The tools are analyzed based on the conventional and CEN-CENELEC-ETSI Smart Grid Reference Architecture. Additionally, tools’ availability, sources, typical applications, strengths, and limitations are discussed. A case study on Residential Energy management and optimization is carried out to show the strengths and limitations of a certain computational tool. It is observed that none of the tools cover all the applications of Residential Energy systems, however necessary information is provided to help researchers to choose the right tools to meet specific objectives.

Peter Palensky - One of the best experts on this subject based on the ideXlab platform.

  • Special Section on New Trends in Residential Energy Management
    IEEE Transactions on Industrial Informatics, 2019
    Co-Authors: Zhao Yang Dong, Fengji Luo, Peter Palensky
    Abstract:

    The eleven papers in this special section focus on new trends in Residential and home Energy management. As an important branch of power demand side management, Residential Energy management plays an important role in reducing the emission and enhancing the Energy efficiency in the Energy delivery side. Recent technical advances bring significant transformations to Energy end-users. First, increasing penetrations of Residential renewable Energy source, electric vehicle, and Residential Energy storage system have been transforming Residential Energy consumers to be “Energy Prosumers (Producer and Consumer. Second, the two-way communication infrastructure enables Residential Energy entities interact and exchange information flows with the external environment. Third, recent advances in ubiquitous sensing and metering technologies, such as Internet of Things, nonintrusive load monitoring, and advanced metering infrastructure, enable the deep understanding on behaviors of Energy end-users and related environments. These technical advances consequently drive Residential Energy entities to become complex cyber-physical-social systems, which require newsolutions for coordinating, managing, and optimizing Residential Energy resources with the active participations of end users.

Ming Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Exploring the influencing factors and decoupling state of Residential Energy consumption in Shandong
    Journal of Cleaner Production, 2018
    Co-Authors: Ming Zhang, Chunyu Bai
    Abstract:

    Abstract This paper aims at analyzing the current situation of Residential Energy consumption in Shandong, identifying the influence factors governing Energy consumption based on the LMDI (Log Mean Divisia Index) method, and describing the decoupling relationship between Residential Energy consumption and Residential income based on the Tapio decoupling method. The main results are as follows: (1) The Residential Energy consumption structures of urban and rural have become multilevel. Furthermore, the gap in per capital Residential Energy consumption between urban and rural regions narrowed. (2) The Energy intensity had an obvious inhibitory effect on decreasing urban Residential Energy consumption. Per capital income and population structure increased the urban Residential Energy consumption over the study period. However, per capital income and Energy intensity played a more significant role in promoting rural Residential Energy consumption. And the population structure decreased rural Residential Energy consumption. During the study period, the contributions from both Energy consumption structure and total population effect were negligible. (3) Since 2000, the decoupling index for both urban and rural resident gradually declined, which also shows that Residential Energy consumption in urban and rural regions was gradually less depend on Residential income.

  • Study on affecting factors of Residential Energy consumption in urban and rural Jiangsu
    Renewable and Sustainable Energy Reviews, 2016
    Co-Authors: Ming Zhang, Yan Song
    Abstract:

    Abstract The purpose of this paper is to study the difference of Residential Energy consumption between urban and rural Jiangsu areas. The main results are as follows. The Residential Energy consumption structures in both urban and rural regions have shifted from being predominantly coal based to a multitier structure. Along with the development of urbanization, the gap in Residential Energy consumption per capita between urban and rural became narrowed over the study period. The space Energy efficiency effect plays an important role in decreasing urban Residential Energy consumption at the aggregate level. However, the population effect and floor area effect are the most stable factor increasing urban Residential Energy consumption. With regard to rural Residential Energy consumption, the space Energy efficiency effect and the floor area effect are the largest contributor to Energy demand over the study period. The population effect plays an important role in decreasing rural Residential Energy consumption over 1996–2011. However, the contribution from the Energy mix effect was negligible during the study period.

Paolo Zangheri - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of the EU Residential Energy Consumption: Trends and Determinants
    Energies, 2019
    Co-Authors: Sofia Tsemekidi Tzeiranaki, Paolo Bertoldi, Francesca Diluiso, Luca Castellazzi, Marina Economidou, Nicola Labanca, Tiago Serrenho, Paolo Zangheri
    Abstract:

    This article analyses the status and trends of the European Union (EU) Residential Energy consumption in light of the Energy consumption targets set by the EU 2020 and 2030 Energy and climate strategies. It assesses the Energy efficiency progress from 2000 to 2016, using the official Eurostat data. In 2016, the Residential Energy consumption amounted to 25.71% of the EU’s final Energy consumption, representing the second largest consuming sector after transport. Consumption-related data are discussed together with data on some main Energy efficiency policies and Energy consumption determinants, such as economic and population growth, weather conditions, and household and building characteristics. Indicators are identified to show the impact of specific determinants on Energy consumption and a new indicator is proposed, drawing a closer link between Energy trends and policy and technological changes in the sector. The analysis of these determinants highlights the complex dynamics behind the demand of Energy in the Residential sector. Decomposition analysis is carried out using the Logarithmic Mean Divisia Index technique to provide a more complete picture of the impact of various determinants (population, wealth, intensity, and weather) on the latest EU-28 Residential Energy consumption trends. The article provides a better understanding of the EU Residential Energy consumption, its drivers, the impact of current policies, and recommendations on future policies.

Yingying Lin - One of the best experts on this subject based on the ideXlab platform.

  • The impact of urbanization on China’s Residential Energy consumption
    Structural Change and Economic Dynamics, 2019
    Co-Authors: Yingchun Yang, Jianghua Liu, Yingying Lin
    Abstract:

    Abstract Against the background of the continuous development of urbanization, the urbanization process can lead to substantial changes in Residential Energy consumption and structures. Residential Energy consumption has become the second-largest Energy sector after the industrial sector. The paper studies the impact of urbanization on Residential Energy consumption using annual Chinese provincial data from 1996 to 2014. The results show the following. First, the impact of urbanization on Residential Energy consumption is heterogeneous across different per-capital income stages and urbanization stages. Second, urbanization has a positive effect on Residential electricity consumption with a coefficient of 1.1 and shows heterogeneity across regions. Third, a higher urbanization rate leads to an increase in both urban and rural Residential electricity consumption, with a more substantial impact on the latter. As a result, the increase in the urbanization rate contributes to shrinking the gap between urban and rural Residential electricity consumption. Finally, based on the conclusions set forth above, policy implications for sustainable urbanization development under the Energy constraints are given.