Comparison and selection of operation optimization mode of multi-energy and multi-level district heating system: Case study of a district heating system in Xiong’an

2021 ◽  
Vol 279 ◽  
pp. 123620
Author(s):  
Li Wen ◽  
Zhe Tian ◽  
Jide Niu ◽  
Ruoyu Zhou ◽  
Qiang Zhang ◽  
...  
Keyword(s):  
District Heating ◽  
Heating System ◽  
District Heating System ◽  
Operation Optimization ◽  
Multi Level ◽  
Selection Of

scholarly journals Small Nuclear Reactor—Nordic District Heating Case Study

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3782 ◽  
Author(s):  
Antti Teräsvirta ◽  
Sanna Syri ◽  
Pauli Hiltunen
Keyword(s):  
Nuclear Reactor ◽  
Computer Software ◽  
District Heating ◽  
Heating System ◽  
Maximum Output ◽  
District Heating System ◽  
Fuel Prices ◽  
Micro Reactors ◽  
Financial Impacts

Small Modular Reactors (SMRs) have been recognized to have potential in decarbonizing district heating, which is currently an urgent sustainability challenge in many European countries. In this paper, the financial impacts of replacing peat and biomass-powered Combined Heat and Power (CHP) plants with heat-only reactors of 24–200 MW power range and maximum output temperatures of 120 °C are studied. A district heating system of a medium-sized Nordic city in Eastern Finland is modeled with EnergyPRO computer software (EMD International A/S, Aalborg, Denmark), which is used to optimize plant units’ production for cost effectiveness. A future scenario is used to predict electricity prices, expenditures from CO2 emission allowances, and fuel prices for the studied case. Results show that the low operating expenditures of CO2 free heat-only reactors would compensate for the revenue losses from electricity sales and that a small number of micro reactors, with power output in the tens of megawatts range each, would be optimal for the studied case. Since investment cost estimates for SMRs still bear significant uncertainties, the subject should be followed in further studies, as heat-only SMRs could provide a profitable alternative for current CHP production in the future.

scholarly journals Methodology for the Improvement of Large District Heating Networks

2012 ◽  
Vol 10 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Anna Volkova ◽  
Vladislav Mashatin ◽  
Aleksander Hlebnikov ◽  
Andres Siirde
Keyword(s):  
Heat Generation ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
District Heating ◽  
Heating System ◽  
District Heating System ◽  
Effective Operation ◽  
The Cost ◽  
Heating Networks

Abstract The purpose of this paper is to offer a methodology for the evaluation of large district heating networks. The methodology includes an analysis of heat generation and distribution based on the models created in the TERMIS and EnergyPro software Data from the large-scale Tallinn district heating system was used for the approbation of the proposed methodology as a basis of the case study. The effective operation of the district heating system, both at the stage of heat generation and heat distribution, can reduce the cost of heat supplied to the consumers. It can become an important factor for increasing the number of district heating consumers and demand for the heat load, which in turn will allow installing new cogeneration plants, using renewable energy sources and heat pump technologies

scholarly journals Air Quality Planning and the Minimization of Negative Externalities

Resources ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 15 ◽  
Author(s):  
Marco Ravina ◽  
Deborah Panepinto ◽  
Mariachiara Zanetti
Keyword(s):  
Air Quality ◽  
Urban Areas ◽  
District Heating ◽  
Heating System ◽  
Negative Externalities ◽  
District Heating System ◽  
Quality Planning ◽  
Air Quality Planning ◽  
The Impact

The minimization of negative externalities is a key aspect in the development of a circular and sustainable economic model. At the local scale, especially in urban areas, externalities are generated by the adverse impacts of air pollution on human health. Local air quality policies and plans often lack of considerations and instruments for the quantification and evaluation of external health costs. Support for decision-makers is needed, in particular during the implementation stage of air quality plans. Modelling tools based on the impact pathway approach can provide such support. In this paper, the implementation of health impacts and externalities analysis in air quality planning is evaluated. The state of the art in European member states is reported, considering whether and how health effects have been included in the planning schemes. The air quality plan of the Piemonte region in Italy is then considered. A case study is analyzed to evaluate a plan action, i.e., the development of the district heating system in the city of Turin. The DIATI (Dipartimento di Ingegneria dell’Ambiente, del Territorio e delle Infrastrutture) Dispersion and Externalities Model (DIDEM model) is applied to detect the scenario with the highest external cost reduction. This methodology results are extensible and adaptable to other actions and measures, as well as other local policies in Europe. The use of health externalities should be encouraged and integrated into the present methodology supporting air quality planning. Efforts should be addressed to quantify and minimize the overall uncertainty of the process.

scholarly journals Optimal Hierarchical Decision-Making for Heat Source Selection of District Heating Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Fang Fang ◽  
Nan Wang
Keyword(s):  
Decision Making ◽  
Heat Source ◽  
District Heating ◽  
Heating System ◽  
District Heating System ◽  
Heating Systems ◽  
Source Selection ◽  
District Heating Systems ◽  
Comprehensive Benefit ◽  
Selection Of

With the rapid development of China’s urbanization, the proportion between the heating consumption and the energy consumption of the whole society keeps rising in recent years. For a district heating system, the selection of the heat source makes significant impact on the energy efficiency and the pollutant emissions. By integrating the methods of the Analytic Hierarchy Process (AHP) and the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), a multiple-attribute decision-making scheme for the heat source selection of district heating systems is proposed in this paper. As a core part of this scheme, a comprehensive benefit index with hierarchical parallel structure is constructed. The economic benefit, environment benefit, and technical benefit can be reflected with a certain percentage in the comprehensive benefit index. To test the efficiency of the proposed scheme, a case study for a large-scale district heating system in Beijing is carried out, where five kinds of heat sources (water source heat pump, ground source heat pump, gas-fired boiler, coal-fired boiler, and oil-fired boiler) are taken into account. The analysis and instructions for the final sorting result are also demonstrated.

scholarly journals Solar thermal and wind energy applications: Case study of a small Spanish village

2018 ◽  
Vol 22 (5) ◽  
pp. 2163-2176 ◽  
Author(s):  
Christos Ioakimidis ◽  
Sesil Koutra ◽  
Ali Bagheri ◽  
Konstantinos Genikomsakis
Keyword(s):  
Large Scale ◽  
Peak Load ◽  
District Heating ◽  
Heating System ◽  
Hot Water ◽  
Water Tank ◽  
Capital Investments ◽  
District Heating System ◽  
Energy Applications

The present work examines the supply of heating and electricity to the Spanish village of Uruena, using biomass and other local renewable sources as a result of the growing interest worldwide towards the development of sustainable and energy independent small communities. Specifically, this case study considers the design of a district heating system consisting of a solar heating plant, a biomass plant using straw as a sustainable fuel for the base load and an oil boiler for the peak load, coupled with a hot water tank as a thermal energy storage option. Two alternative scenarios are analyzed for electricity generation purposes, namely a system consisting of three small wind turbines and a system with a single large wind turbine. The results show that the cost of large-scale electricity storage depends on the application and often involves significant capital investments.

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