Establishment and validation of a sustainable evaluation model for heat metering technology in China

Yuan, Shanshan; Xu, Wei

doi:10.1016/j.enbuild.2015.04.026

Cited by 11 publications

(4 citation statements)

References 13 publications

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“…However, since the measurements have specific sampling resolution, and the SE only considers the state at sampling points, the integral equation ( 16) cannot be applied directly and the discretization is needed. Given the current time point t and the measuring period Δt, there is an integer γ satisfy- ing (19) for each pipe:…”

Section: ) Thermal Networkmentioning

confidence: 99%

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A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics

Sheng

Yin

Guo

et al. 2020

Journal of Modern Power Systems and Clean Energy

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State estimation (SE) usually serves as the basic function of the energy management system (EMS). In this paper, the time-scale characteristics of the integrated heat and electricity networks are studied and an SE model is established. Then, a two-stage iterative algorithm is proposed to estimate the time delay of heat power transportation in the pipeline. Meanwhile, to accommodate the measuring resolutions of the integrated network, a hybrid SE approach is developed based on the two-stage iterative algorithm. Results show that, in both steady and dynamic processes, the two-stage estimator has good accuracy and convergence. The hybrid estimator has good performance on tracking the variation of the states in the heating network, even when the available measurements are limited.

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Section: ) Thermal Networkmentioning

confidence: 99%

“…Owing to the heating market reform in China, more automated calorimeters were also equipped in many DH systems [18]. Moreover, supervisory control and data acquisition (SCADA) systems had already been installed in some advanced DH systems to guarantee proper daily operations as well [19].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics

Sheng

Yin

Guo

et al. 2020

Journal of Modern Power Systems and Clean Energy

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show abstract

“…The "State Council's August 2006 decision on strengthening energy efficiency" (NDRC, 2006) aims tie heating bills to actual consumption by requiring heat metering in buildings. Heat metering in buildings can significantly reduce the heating energy consumption by 15%e35% (Yuan and Xu, 2015). Tianjin has made significant efforts to improve building energy efficiency, including research and pilot studies of heat metering since 2000.…”

Section: Heating Tariffsmentioning

confidence: 99%

Heating energy saving potential from building envelope design and operation optimization in residential buildings: A case study in northern China

Zhou

Wang

Sun³

et al. 2018

Journal of Cleaner Production

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“…To balance the contradiction between people's demand for quality heating energy for comfortable living and enforcing energy-saving regulations for sustainable development, the heat metering of residential buildings was carried out to capture energy heating consumption trends using a technology-based forecasting approach. The method relies on economic and technological means to urge people to adopt energy-saving measures as a lifestyle [3,4]. For buildings with heat metering, heat load forecasting is one of the important components of an intelligent district heating system (DHS) and an effective means for the DHS to realize energy-saving regulations and safe operation [5].…”

Section: Introductionmentioning

confidence: 99%

Forecasting the Heat Load of Residential Buildings with Heat Metering Based on CEEMDAN-SVR

Gao

Xue

et al. 2020

Energies

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The energy demand of the district heating system (DHS) occupies an important part in urban energy consumption, which has a great impact on the energy security and environmental protection of a city. With the gradual improvement of people’s economic conditions, different groups of people now have different demands for thermal energy for their comfort. Hence, heat metering has emerged as an imperative for billing purposes and sustainable management of energy consumption. Therefore, forecasting the heat load of buildings with heat metering on the demand side is an important management strategy for DHSs to meet end-users’ needs and maintain energy-saving regulations and safe operation. However, the non-linear and non-stationary characteristics of buildings’ heat load make it difficult to predict consumption patterns accurately, thereby limiting the capacity of the DHS to deliver on its statutory functions satisfactorily. A novel ensemble prediction model is proposed to resolve this problem, which integrates the advantages of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and support vector regression (SVR), called CEEMDAN-SVR in this paper. The proposed CEEMDAN-SVR algorithm is designed to automatically decompose the intrinsic mode according to the characteristics of heat load data to ensure an accurate representation of heat load patterns on multiple time scales. It will also be useful for developing an accurate prediction model for the buildings’ heat load. In formulating the CEEMDAN-SVR model, the heat load data of three different buildings in Xingtai City were acquired during the heating season of 2019–2020 and employed to conduct detailed comparative analysis with modern algorithms, such as extreme tree regression (ETR), forest tree regression (FTR), gradient boosting regression (GBR), support vector regression (SVR, with linear, poly, radial basis function (RBF) kernel), multi-layer perception (MLP) and EMD-SVR. Experimental results reveal that the performance of the proposed CEEMDAN-SVR model is better than the existing modern algorithms and it is, therefore, more suitable for modeling heat load forecasting.

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Establishment and validation of a sustainable evaluation model for heat metering technology in China

Cited by 11 publications

References 13 publications

A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics

A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics

Heating energy saving potential from building envelope design and operation optimization in residential buildings: A case study in northern China

Forecasting the Heat Load of Residential Buildings with Heat Metering Based on CEEMDAN-SVR

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