scholarly journals An optimal scheduling method for integrated power and heat system with multiple thermal flexibilities

2021 ◽  
Vol 252 ◽  
pp. 01016
Author(s):  
Da Lin ◽  
Chouwei Ni ◽  
Xuesong Zhang ◽  
Junhao Huang
Keyword(s):  
Power System ◽  
District Heating ◽  
Heating System ◽  
Energy System ◽  
Optimal Scheduling ◽  
District Heating System ◽  
Improve Energy Efficiency ◽  
Heat System ◽  
Scheduling Method ◽  
Operation Cost

Integrated power and heat system (IPHS) is a typical multi-energy system which involves power system and district heating system (DHS). The utilization of thermal flexibilities in the joint operation of power system and district heating system has shown the potential to improve energy efficiency and economic performance. In this paper, an optimal scheduling method for IPHS with multiple thermal flexibilities is proposed. Thermal flexibilities of electric boilers and district heating network (DHN) are modelled and analysed, in which the flexibility of DHN is described by a detailed node-based quasi-dynamic model. The proposed scheduling method is to minimize the operation cost of IPHS. Case study is carried out on a typical IPHS with a 6-node power system and a 12-node DHS. Simulation results show that the scheduling method can reduce the operation cost of IPHS and improve wind accommodation.

DISTRICT HEATING SYSTEM DESIGN FOR RURAL NOVA SCOTIAN COMMUNITIES USING BUILDING SIMULATION AND ENERGY USAGE DATABASES

2009 ◽  
Vol 33 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Jaspreet S. Nijjar ◽  
Alan S. Fung ◽  
Larry Hughes ◽  
Hessam Taherian
Keyword(s):  
System Design ◽  
Energy Demand ◽  
District Heating ◽  
Heating System ◽  
Energy System ◽  
Building Simulation ◽  
Energy Usage ◽  
District Heating System ◽  
District Energy ◽  
Heating Profiles

There are several benefits to district heating systems. The system design requires knowledge of community peak heating load and annual heating energy requirements. For this purpose, a residential energy model was developed using several energy usage databases. Hourly, peak, and annual heating demands were estimated by simulating 15 archetype houses using an hour-by-hour building simulation program, ENERPASS. Estimated heating profiles from model houses were used to design a district heating system for a hypothetical rural community in Nova Scotia. The findings show that building simulation is a very flexible and valuable tool in identifying the required peak and hourly energy demand of a community for the design of district energy system, and biomass district heating system can reduce community greenhouse gas emissions.

Optimization of a Local District Heating Plant Under Fuel Flexibility and Performance

2011 ◽  
Author(s):  
Souman Rudra ◽  
Lasse Rossendahl ◽  
Niels From
Keyword(s):  
Natural Gas ◽  
Fossil Fuels ◽  
System Analysis ◽  
Reference Model ◽  
District Heating ◽  
Heating System ◽  
Energy System ◽  
District Heating System ◽  
And Performance ◽  
Heating Plant

Brovst is a small district in Denmark. Based on the case of Brovst, this paper analyses the role of district heating in future Renewable Energy Systems. The present use of fossil fuels in the Brovst DHP (district heating plant) represents an increasing environmental and climate-related load. So, an investigation has been made to reduce the use of fossil fuels for district heating system and make use of the local renewable resources (Biogas, Solar and Geothermal) for district heating purpose. In this article, the techno-economic assessment is achieved through the development of a suite of models that are combined to give cost and performance data for this district heating system. Different local fuels have been analyzed for different perspectives to find the way to optimize the whole integrated system in accordance with fuel availability and cost. This paper represents the energy system analysis mode energyPRO which has been used to analyses the integration of large scale energy system into the domestic district heating system. A model of the current work on the basis of information from the plant (using fossil fuel) is established and named as a reference model. Then different solutions are calculated for various local fuels in energyPRO. A comparison has been made between the reference model and the basis for individual solutions. The greatest reduction in heat price is obtained by replacing one engine with a new biogas where heat production is divided by 66% of biogas, 13% natural gas engines and 21% natural gas boilers.

scholarly journals Life Cycle Cost of Building Energy Renovation Measures, Considering Future Energy Production Scenarios

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2719 ◽  
Author(s):  
Moa Swing Gustafsson ◽  
Jonn Are Myhren ◽  
Erik Dotzauer ◽  
Marcus Gustafsson
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Energy Production ◽  
District Heating ◽  
Heating System ◽  
Energy System ◽  
Reference Case ◽  
District Heating System ◽  
System Perspective ◽  
Future Production

A common way of calculating the life cycle cost (LCC) of building renovation measures is to approach it from the building side, where the energy system is considered by calculating the savings in the form of less bought energy. In this study a wider perspective is introduced. The LCC for three different energy renovation measures, mechanical ventilation with heat recovery and two different heat pump systems, are compared to a reference case, a building connected to the district heating system. The energy system supplying the building is assumed to be 100% renewable, where eight different future scenarios are considered. The LCC is calculated as the total cost for the renovation measures and the energy systems. All renovation measures result in a lower district heating demand, at the expense of an increased electricity demand. All renovation measures also result in an increased LCC, compared to the reference building. When aiming for a transformation towards a 100% renewable system in the future, this study shows the importance of having a system perspective, and also taking possible future production scenarios into consideration when evaluating building renovation measures that are carried out today, but will last for several years, in which the energy production system, hopefully, will change.

scholarly journals Optimization model for improvement of district heating system by integration of cogeneration

2020 ◽  
pp. 207-207
Author(s):  
Branka Gvozdenac-Urosevic
Keyword(s):  
Carbon Dioxide Emissions ◽  
District Heating ◽  
Goal Function ◽  
Heating System ◽  
Energy System ◽  
Low Carbon ◽  
District Heating System ◽  
Increase Energy Efficiency ◽  
Reduce Carbon Dioxide ◽  
The Impact

Modelling of a complex district heating system by increasing the energy system?s efficiency and by reducing emissions through the implementation of new and low carbon technologies is presented. One of these technologies is cogeneration which is used to increase energy efficiency and to reduce carbon dioxide emissions. Presented model uses linear programming as a basis for mathematical modelling of the energy system. The mathematical calculation is set pragmatically, so it can be efficiently and reliably used to assess the impact of most important parameters on the efficiency of the regional energy system. The model analyses the effects of integration of cogeneration into the existing energy system using a given goal function. The basic criterion is set to be the reduction of environmental impact. The model is successfully tested on the complex district heating system with the power of about 600 MW.

scholarly journals Analysis of the Methodology to Obtain Several Key Indicators Performance (KIP), by Energy Retrofitting of the Actual Building to the District Heating Fuelled by Biomass, Focusing on nZEB Goal: Case of Study

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 93 ◽  
Author(s):  
Rosaura Castrillón Mendoza ◽  
Javier Rey Hernández ◽  
Eloy Velasco Gómez ◽  
Julio San José Alonso ◽  
Francisco Rey Martínez
Keyword(s):  
Energy Efficiency ◽  
Natural Gas ◽  
Energy Management ◽  
District Heating ◽  
Heating System ◽  
Energy System ◽  
Hot Water ◽  
The European Union ◽  
District Heating System ◽  
The University

In order to achieve the objectives of the European 20/20/20 strategy, and to obtain a greater energy efficiency, integration of renewable energies and the reduction of carbon emissions, a District Heating (DH) system has been designed by the University of Valladolid (UVa), Spain, one of the most important DH fed by biomass fuel in Spain, supplying heating and domestic hot water (DHW) to 31 buildings in Valladolid, the majority of them, educational buildings on the University Campus. The aims of this paper were to study the change from an energy system fueled by natural gas to District Heating by biomass in a building on the campus of the University of Valladolid—the School of Engineering (EII)—studying its consumption from its connection to the District Heating system. An energy management methodology such as ISO 50001 is carried out, applied to efficiency systems in buildings, thus establishing new criteria of sustainability and economic value. In this paper, energy management will also be analyzed in accordance with the proposed tools of an Energy Management System (EMS) applied to the EII building, through the measurement of energy parameters, calculation of thermal consumption, thermal energy savings as a result of the change from system to District Heating by biomass, economic savings, reduction of environmental impact and indicators of thermal efficiency I100 and CUSUM indicator. Finally, the primary renewable and non-renewable energy efficiency indicators for the new District Heating system will be determined. The concept of the near Zero Energy Buildings is defined in the European Union (EU) in order to analyze an approach to an nZEB which results from replacing the natural gas heating system by a biomass District Heating system.

scholarly journals Utilization of Data Center Waste Heat in Northern Ostrobothnia

2020 ◽  
Vol 14 (3) ◽  
pp. 312-317
Author(s):  
Tero Leppänen ◽  
Rihard Romka ◽  
Pekka Tervonen
Keyword(s):  
Data Center ◽  
Data Centers ◽  
Waste Heat ◽  
District Heating ◽  
Heating System ◽  
Viable Option ◽  
District Heating System ◽  
Improve Energy Efficiency ◽  
Waste Heat Utilization ◽  
Case Data

Data center industry is growing rapidly due to the expanding internet traffic and the upcoming IoT revolution. Data centers consume vast amounts of energy globally and are also a significant source of greenhouse gas emissions. There is a need to improve energy efficiency and sustainability of data center operations. The energy consumed by data centers is mostly converted to heat and this study focuses on utilizing that waste heat according to the principles of circular economy in the context of Northern Ostrobothnia, Finland. The overall regional business potential of data center waste heat utilization is evaluated and the best options of utilizing waste heat in case data center are sought. The study found that the most viable option would be utilizing waste heat locally to heat facilities or in industrial processes. Another potential option is to connect data center into a district heating system where waste heat can be fed.

scholarly journals Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2539
Author(s):  
Zhengjie Li ◽  
Zhisheng Zhang
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
Solar Power ◽  
Load Forecasting ◽  
Energy System ◽  
Optimal Scheduling ◽  
Scheduling Scheme ◽  
Load Power ◽  
Integrated Energy System ◽  
Operation Cost

At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.

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