Journal ArticleDOI
GPU accelerated power flow calculation of integrated electricity and heat system with component-oriented modeling of district heating network
Zhang Chen,Jun Liu,Liu Xinglei +2 more
TLDR
In this article, a component-oriented power flow model for district heating networks is presented, in which the models of the three basic components in DHN, the pipelines, pressure sources and junctions, are investigated in detail.About:
This article is published in Applied Energy.The article was published on 2022-01-01. It has received 7 citations till now. The article focuses on the topics: Computer science & Network topology.read more
Citations
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Journal ArticleDOI
A dual-driven linear modeling approach for multiple energy flow calculation in electricity–heat system
TL;DR: In this paper , a dual-driven linear regression model was proposed to solve the nonlinear multiple energy flow (MEF) problem in the electricity-heat system, where the mechanism analysis screens critical features before data processing and provides a fundamental linear model based on physical mechanism, and the data-driven regression generates linear models to replace the complicated nonlinear elements.
Journal ArticleDOI
Day-ahead stochastic scheduling of integrated electricity and heat system considering reserve provision by large-scale heat pumps
Menglin Zhang,Донабоев Жаҳонгир Ҳусан ўғли,Qiuwei Wu,Jinyu Wen,Bo Zhou,Qinyue Guan,Jin Tan,Zhongwei Lin,Fang Fang +8 more
TL;DR: In this paper, a two-stage stochastic optimization model is proposed for the day-ahead centralized scheduling of the integrated electricity and heat system considering wind power uncertainties, with reserve provision of large-scale heat pumps, combined heat and power units, and thermal power units.
Journal ArticleDOI
Day-ahead stochastic scheduling of integrated electricity and heat system considering reserve provision by large-scale heat pumps
TL;DR: In this paper , a two-stage stochastic optimization model is proposed for the day-ahead centralized scheduling of the integrated electricity and heat system considering wind power uncertainties, with reserve provision of large-scale heat pumps, combined heat and power units, and thermal power units.
Journal ArticleDOI
An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision
TL;DR: Wang et al. as mentioned in this paper proposed an effective index system and its extraction method and a comprehensive evaluation approach to reliably assess the multi-energy transaction performance of the energy internet market, which can effectively handle the linguistic imprecision and cognition vagueness caused by expert judgements.
Journal ArticleDOI
A novel data-driven multi-energy load forecasting model
Yong Yao,Shizhu Li,Zhichao Wu,Chimg-Chu Yu,Xinglei Liu,Keyu Yuan,Jiacheng Liu,Zeyang Wu,Jun Lu +8 more
TL;DR: In this paper , a novel data-driven multi-energy load forecasting model is proposed to deal with the strong coupling and high uncertainty issues in IES, a novel feature extraction method based on Uniform Manifold Approximation and Projection (UMAP) is developed, which reduces the dimension of the complex nonlinear input data.
References
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Journal ArticleDOI
4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems
Henrik Lund,Sven Werner,Robin Wiltshire,Svend Svendsen,Jan Eric Thorsen,Frede Hvelplund,Brian Vad Mathiesen +6 more
TL;DR: In this article, the concept of 4th Generation District Heating (4GDH) was defined, including the relations to district cooling and the concepts of smart energy and smart thermal grids.
Journal ArticleDOI
Energy hubs for the future
TL;DR: In this paper, the authors present a project named "Vision of Future Energy Networks", which aims at a greenfield approach for future energy systems, defined energy hubs and the conception of combined interconnector devices represent key approaches towards a multicarrier greenfield layout.
Journal Article
Automatic differentiation in machine learning: a survey
TL;DR: Automatic differentiation (AD) is a family of techniques similar to but more general than backpropagation for efficiently and accurately evaluating derivatives of numeric functions expressed as computer programs as discussed by the authors, which is a small but established field with applications in areas including computational uid dynamics, atmospheric sciences, and engineering design optimization.
Journal ArticleDOI
Combined analysis of electricity and heat networks
TL;DR: In this article, a combined analysis was developed to investigate the performance of electricity and heat networks as an integrated whole, based on a model of electrical power flow and hydraulic and thermal circuits together with their coupling components (CHP units, heat pumps, electric boilers and circulation pumps).