@article{Cox_2015,
doi = {10.1016/j.buildenv.2014.04.006},
url = {http://dx.doi.org/10.1016/j.buildenv.2014.04.006},
year = {2015},
month = {jan},
publisher = {Elsevier {BV}},
volume = {83},
pages = {104--114},
author = {Rimante A. Cox and Martin Drews and Carsten Rode and Susanne Balslev Nielsen},
title = {{Simple future weather files for estimating heating and cooling demand}},
journal = {Building and Environment},
}
@article{Dotzauer_2002,
doi = {10.1016/s0306-2619(02)00078-8},
url = {http://dx.doi.org/10.1016/S0306-2619(02)00078-8},
year = {2002},
month = {nov},
publisher = {Elsevier {BV}},
volume = {73},
number = {3-4},
pages = {277--284},
author = {Erik Dotzauer},
title = {{Simple model for prediction of loads in district-heating systems}},
journal = {Applied Energy},
}
@article{Nelson_2012,
doi = {10.1016/j.enpol.2012.01.031},
url = {http://dx.doi.org/10.1016/j.enpol.2012.01.031},
year = {2012},
month = {apr},
publisher = {Elsevier {BV}},
volume = {43},
pages = {436--447},
author = {James Nelson and Josiah Johnston and Ana Mileva and Matthias Fripp and Ian Hoffman and Autumn Petros-Good and Christian Blanco and Daniel M. Kammen},
title = {{High-resolution modeling of the western North American power system demonstrates low-cost and low-carbon futures}},
journal = {Energy Policy},
}
@article{Benonysson_1995,
doi = {10.1016/0196-8904(95)98895-t},
url = {http://dx.doi.org/10.1016/0196-8904(95)98895-t},
year = {1995},
month = {may},
publisher = {Elsevier {BV}},
volume = {36},
number = {5},
pages = {297--314},
author = {Atli Benonysson and Benny B{\o}hm and Hans F. Ravn},
title = {{Operational optimization in a district heating system}},
journal = {Energy Conversion and Management},
}
@inproceedings{Idowu_2014,
doi = {10.1109/smartgridcomm.2014.7007705},
url = {http://dx.doi.org/10.1109/SmartGridComm.2014.7007705},
year = {2014},
month = {nov},
publisher = {Institute of Electrical {\&} Electronics Engineers ({IEEE})},
author = {Samuel Idowu and Saguna Saguna and Christer Ahlund and Olov Schelen},
title = {{Forecasting heat load for smart district heating systems: A machine learning approach}},
booktitle = {2014 {IEEE} International Conference on Smart Grid Communications ({SmartGridComm})},
}
@inproceedings{Idowu_2014_2,
doi = {10.1109/smartgridcomm.2014.7007705},
url = {http://dx.doi.org/10.1109/SmartGridComm.2014.7007705},
year = {2014},
month = {nov},
publisher = {Institute of Electrical {\&} Electronics Engineers ({IEEE})},
author = {Samuel Idowu and Saguna Saguna and Christer Ahlund and Olov Schelen},
title = {{Forecasting heat load for smart district heating systems: A machine learning approach}},
booktitle = {2014 {IEEE} International Conference on Smart Grid Communications ({SmartGridComm})},
}
@book{benonysson1990dynamic,
title = {{Dynamic Modelling of District Heat Consumers}},
author = {Benonysson, A. and Nordisk energiforskningssamarbejde},
isbn = {9788788038217},
url = {https://books.google.dk/books?id=7aAaQwAACAAJ},
year = {1990},
publisher = {Laboratory of Heating and Air Conditioning, Technical University of Denmark},
}
@article{Lund_2014,
doi = {10.1016/j.energy.2014.02.089},
url = {http://dx.doi.org/10.1016/j.energy.2014.02.089},
year = {2014},
month = {apr},
publisher = {Elsevier {BV}},
volume = {68},
pages = {1--11},
author = {Henrik Lund and Sven Werner and Robin Wiltshire and Svend Svendsen and Jan Eric Thorsen and Frede Hvelplund and Brian Vad Mathiesen},
title = {{4th Generation District Heating (4GDH)}},
journal = {Energy},
}
@article{Wang2015401,
title = {{Modelling and optimization of CHP based district heating system with renewable energy production and energy storage}},
journal = {Applied Energy},
volume = {159},
number = {},
pages = {401 - 421},
year = {2015},
note = {},
issn = {0306-2619},
doi = {10.1016/j.apenergy.2015.09.020},
url = {http://www.sciencedirect.com/science/article/pii/S0306261915010909},
author = {Haichao Wang and Wusong Yin and Elnaz Abdollahi and Risto Lahdelma and Wenling Jiao},
keywords = {Energy efficiency},
abstract = {Abstract Renewable energy source (RES) is playing an increasingly important role to reduce fossil fuels in district heating (DH) and to alleviate the accompanying environmental impact. In this paper, a combined heat and power (CHP) based \{DH\} system with \{RES\} and energy storage system (ESS) is studied. A modelling and optimization method is developed for planning and operating such CHP-DH systems. The objective of the optimization is to minimize the overall costs of the net acquisition for heat and power in deregulated power market. A planning model consisting of energy balances and constraints for system control and operation is built and an efficient algorithm is developed. We demonstrate the method in a CHP-DH system with a solar thermal plant and a thermal energy storage (TES). Results indicate that the developed method is efficient and flexible for planning and operating CHP-DH systems. To simulate the future situation, we also optimize the same CHP-DH system with a higher share of \{RES\} and a bigger TES. Results show that \{TES\} is used more intensively in the future with more fluctuating \{CHP\} load and a higher share of RES.},
}
@inproceedings{Runvik_2015,
doi = {10.3384/ecp15118217},
url = {http://dx.doi.org/10.3384/ecp15118217},
year = {2015},
month = {sep},
publisher = {Linkoping University Electronic Press},
author = {H{\aa}kan Runvik and Per-Ola Larsson and St{\'{e}}phane Velut and Jonas Funkquist and Markus Bohlin and Andreas Nilsson and Sara Modarrez Razavi},
title = {{Production Planning for Distributed District Heating Networks with {JModelica}.org}},
booktitle = {Proceedings of the 11th International Modelica Conference Versailles, France, September 21-23, 2015},
}
@article{Rong_2007,
doi = {10.1016/j.ejor.2005.09.009},
url = {http://dx.doi.org/10.1016/j.ejor.2005.09.009},
year = {2007},
month = {jan},
publisher = {Elsevier {BV}},
volume = {176},
number = {2},
pages = {1219--1245},
author = {Aiying Rong and Risto Lahdelma},
title = {{Efficient algorithms for combined heat and power production planning under the deregulated electricity market}},
journal = {European Journal of Operational Research},
}
@article{Li_2012,
doi = {10.1016/j.energy.2012.03.056},
url = {http://dx.doi.org/10.1016/j.energy.2012.03.056},
year = {2012},
month = {sep},
publisher = {Elsevier {BV}},
volume = {45},
number = {1},
pages = {237--246},
author = {Hongwei Li and Svend Svendsen},
title = {{Energy and exergy analysis of low temperature district heating network}},
journal = {Energy},
}
@article{Izadyar_2015,
doi = {10.1016/j.energy.2015.10.015},
url = {http://dx.doi.org/10.1016/j.energy.2015.10.015},
year = {2015},
month = {dec},
publisher = {Elsevier {BV}},
volume = {93},
pages = {1558--1567},
author = {Nima Izadyar and Hossein Ghadamian and Hwai Chyuan Ong and Zeinab moghadam and Chong Wen Tong and Shahaboddin Shamshirband},
title = {{Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption}},
journal = {Energy},
}
@article{poredovs2002exergy,
title = {{Exergy loss as a basis for the price of thermal energy}},
author = {Poredo{\v{s}}, Alojz and Kitanovski, Andrej},
journal = {Energy Conversion and Management},
volume = {43},
number = {16},
pages = {2163--2173},
year = {2002},
publisher = {Elsevier},
}
