scholarly journals A Scale-Free Dynamic Model for District Heating Aggregated Regions

2020 ◽  
Author(s):  
Costanza Saletti ◽  
Nathan Zimmerman ◽  
Mirko Morini ◽  
Konstantinos Kyprianidis ◽  
Agostino Gambarotta
Keyword(s):  
Design Optimization ◽  
Large Scale ◽  
Management Strategies ◽  
District Heating ◽  
Thermal Capacity ◽  
Scale Free ◽  
Optimization And Control ◽  
System Design Optimization ◽  
And Control ◽  
Heating Networks

District heating networks have become widespread due to their ability to distribute thermal energy efficiently, which leads to reduced carbon emissions and improved air quality. The characteristics of these networks vary remarkably depending on the urban layout and system amplitude. Moreover, extensive data about the energy distribution and thermal capacity of different areas are seldom available. Design, optimization and control of these systems are enabled by the availability of fast and scalable models of district heating networks. This work addresses this issue by proposing a novel method to develop a scale-free model of large-scale district heating networks. Starting from coarse data available at the main substations, a physics-based model of the system aggregated regions is developed by identifying the heat capacity and heat loss coefficients. The model validation on the network of Västerås, Sweden, shows compatibility with literature data and can therefore be exploited for system design, optimization and control-oriented applications. In particular, the possibility to estimate the heat storage potential of network regions allows new smart management strategies to be investigated.

scholarly journals Estimation of load curves for large-scale district heating networks

2020 ◽  
Vol 588 ◽  
pp. 052032
Author(s):  
Kai Nino Streicher ◽  
Stefan Schneider ◽  
Martin K. Patel
Keyword(s):  
Large Scale ◽  
District Heating ◽  
Heating Networks

Single cell protein

1980 ◽  
Vol 290 (1040) ◽  
pp. 341-354 ◽  
Keyword(s):  
Single Cell ◽  
Large Scale ◽  
Single Cell Protein ◽  
Raw Material ◽  
Cell Protein ◽  
Pressure Cycle ◽  
Amino Acid Requirements ◽  
Business Size ◽  
Optimization And Control ◽  
And Control

The following topics are covered in this paper: the European feedstuff business, size, shape and source; the protein and amino acid requirements of the principal target species; the place of single cell protein (s.c.p.); the raw material options and the technical challenge of large scale s.c.p. manufacture; fermentation of s.c.p., its stoichiometry, mass and heat transfer requirements; static and dynamic optimization and control; the pressure cycle fermenter; the principle of sterility and the engineering design constraints; the nutritional performance of I.C.I.’s ‘Pruteen’ and the future for s.c.p.

scholarly journals Innovative Computational Tools and Models for the Design, Optimization and Control of Carbon Capture Processes

2017 ◽  
pp. 311-342 ◽  
Author(s):  
David C. Miller ◽  
Deb Agarwal ◽  
Debangsu Bhattacharyya ◽  
Joshua Boverhof ◽  
Yang Chen ◽  
...  
Keyword(s):  
Design Optimization ◽  
Carbon Capture ◽  
Computational Tools ◽  
Optimization And Control ◽  
And Control

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 A new combined clustering method to Analyse the potential of district heating networks at large-scale

Energy ◽  
2018 ◽  
Vol 156 ◽  
pp. 73-83 ◽  
Author(s):  
Julien F. Marquant ◽  
L. Andrew Bollinger ◽  
Ralph Evins ◽  
Jan Carmeliet
Keyword(s):  
Large Scale ◽  
District Heating ◽  
Clustering Method ◽  
Heating Networks

scholarly journals Balancing Energy Efficiency with Indoor Comfort Using Smart Control Agents: A Simulative Case Study

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6228
Author(s):  
Iakovos T. Michailidis ◽  
Roozbeh Sangi ◽  
Panagiotis Michailidis ◽  
Thomas Schild ◽  
Johannes Fuetterer ◽  
...  
Keyword(s):  
Large Scale ◽  
Real Life ◽  
Energy Performance ◽  
Centralized Control ◽  
Optimization Strategy ◽  
Adaptive Optimization ◽  
Reference Case ◽  
Decentralized Optimization ◽  
Optimization And Control ◽  
And Control

Modern literature exhibits numerous centralized control approaches—event-based or model assisted—for tackling poor energy performance in buildings. Unfortunately, even novel building optimization and control (BOC) strategies commonly suffer from complexity and scalability issues as well as uncertain behavior as concerns large-scale building ecosystems—a fact that hinders their practical compatibility and broader applicability. Moreover, decentralized optimization and control approaches trying to resolve scalability and complexity issues have also been proposed in literature. Those approaches usually suffer from modeling issues, utilizing an analytically available formula for the overall performance index. Motivated by the complications in existing strategies for BOC applications, a novel, decentralized, optimization and control approach—referred to as Local for Global Parameterized Cognitive Adaptive Optimization (L4GPCAO)—has been extensively evaluated in a simulative environment, contrary to previous constrained real-life studies. The current study utilizes an elaborate simulative environment for evaluating the efficiency of L4GPCAO; extensive simulation tests exposed the efficiency of L4GPCAO compared to the already evaluated centralized optimization strategy (PCAO) and the commercial control strategy that is adopted in the BOC practice (common reference case). L4GPCAO achieved a quite similar performance in comparison to PCAO (with 25% less control parameters at a local scale), while both PCAO and L4GPCAO significantly outperformed the reference BOC practice.

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