Operational optimization in district heating systems with the use of thermal energy storage

Leśko, Michał; Bujalski, Wojciech; Futyma, Kamil

doi:10.1016/j.energy.2018.09.141

Cited by 74 publications

(32 citation statements)

References 24 publications

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“…The correlation between the amount of heat sold from a heating plant and average annual outdoor temperatures is shown in Figure 2. Like a substation [48], the entire network can be characterized by its heat demand (which is a time series that can be predicted to satisfactory accuracy based on weather forecasts and time patterns) and its temperature characteristics. Based on the official climatic data of Omsk, and adjusting the data according to the typical meteorological year, the annual frequency of outdoor temperature was determined as ranging from 1.42 • C to 3.74 • C throughout the decade.…”

Section: Resultsmentioning

confidence: 99%

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Чичерин

Mašatin²,

Siirde

et al. 2020

Energies

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The goal of this paper was to evaluate heat loss and the demand of district heating (DH) in the context of the fourth generation DH concept using a data-driven approach. The heat loss profile was calculated with GIS Zulu© (software (8.0.0.7539, Politerm, LLC, St.Petersburg, Russia) using eight various states of insulation, detailed information on thermal conductivity, internal heat transfer coefficient, and geometry of the concrete trench. There is a strong correlation between the heat sold and the average annual outdoor temperatures. The outstanding episodes are extremely rare, and the difference in the overall pattern is elusive. The results of the annual heat production and annual heat loss analyses were compared using three different estimation methods. The new method was the only one that showed a positive effect after the complete modernization of thermal insulation. The actual proportion of heat loss is much higher at 16%, while the actual heat delivery is less than anticipated at 85–86% only. The trend of the normative approach is correct but cannot determine changes in network heat loss due to aging. The method focuses on the effects of the state of insulation and actual supply temperature levels. The transition to smart energy systems includes strategic and progressive energy planning, as well as new pricing rules and tariffs. Thus, the method presented is the first step in the transition towards the fourth generation DH networks.

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Section: Resultsmentioning

confidence: 99%

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Чичерин

Mašatin²,

Siirde

et al. 2020

Energies

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“…By the 1990s, published works had a far greater technical focus, including one of the first linear optimizations of DH [38], which considered the costs of electricity and heating at different times across the year and suggested an operating schedule to minimize the operating costs. This method is still used today and features in many recent publications [39][40][41]; however, it is almost exclusively focused on a cost optimization and has little consideration for operational constraints or targets, such as carbon emissions. By the 1990s, carbon emissions were being acknowledged as a significant concern, and yet even now, CHP operating strategies rarely target carbon footprint minimization, so continued use of this methodology demonstrates a persistent disconnect between political and environmental motivations and technical advancements.…”

Section: Combined Heating and Power (Chp)mentioning

confidence: 99%

District Heating Challenges for the UK

Millar

Burnside

2019

Energies

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District heating uptake has grown with the increasing need for cleaner and more efficient energy supply. This has resulted in a rising number of new developments signing up to a district heating scheme, typically powered by Combined Heat and Power (CHP) boilers or biomass boilers with supplemental electrical or gas grid connections. These schemes have advanced rapidly in recent years, with much of the research focus targeting lower carbon technologies, improved load prediction and peak demand management. We assess the current status of District Heating Networks (DHNs) in the United Kingdom using published case studies and suggest next steps to improvement. Our findings show that the United Kingdom has good potential for uptake of district energy given the current political climate and government incentives, however significant improvements must be made to further penetrate the heating market.

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“…MILP formalism is commonly used in the literature to solve electrical and thermal grids optimization problems [35,36]. Particularly for DHSs operational optimization exploiting short-term heat storage within the buildings mass, authors in [37] present a comprehensive global optimization problem using a technique to solve non-linear problems by multiple MILP. Buildings for energy storage are also studied in [38] under the MILP formalism applied to linear models and in [39] after piecewiselinear approximations of non-linear phenomena.…”

Section: Flexible Control Of Space-heating Demand 41 Formulationmentioning

confidence: 99%

Modelling and flexible predictive control of buildings space-heating demand in district heating systems

Aoun

Bavière

Vallée

et al. 2019

Energy

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This paper presents and demonstrates, by numerical simulation, a mixed-integer linear programming (MILP)-based Model Predictive Control (MPC) strategy for space-heating demand in buildings connected to a district heating system. The proposed MPC deals with space-heating demand with extended flexibility. It exploits thermal inertia, inherently present in the building and its heating system, to optimally plan space-heating load in anticipation of weather conditions and energy cost variations. MPC is based on a reliable Reduced-Order Model (ROM). Heating circuit and internal mass are carefully modelled within the ROM structure since these elements can be used for short-term heat storage and therefore play an important role in demand-side management. As for the model parameters identification, training data is restricted to non-intrusive, easily accessible measurements available at the substation level. The model identification approach and control strategy are applied to a well-insulated radiator-heated case-study building simulator developed in Modelica. Results show that the proposed ROM is reliable enough for an MPC application. Compared to conventional weather-compensation control, flexible MILP-based MPC proved to be cost-efficient, while preserving a decent indoor thermal comfort level.

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Operational optimization in district heating systems with the use of thermal energy storage

Cited by 74 publications

References 24 publications

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy

District Heating Challenges for the UK

Modelling and flexible predictive control of buildings space-heating demand in district heating systems

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