On the forecast control of heating system as an easily applicable measure to increase energy efficiency in existing buildings: Long term field evaluation

被引:16
作者
Cholewa, Tomasz [1 ]
Siuta-Olcha, Alicja [1 ]
Smolarz, Andrzej [2 ]
Muryjas, Piotr [2 ]
Wolszczak, Piotr [3 ]
Guz, Lukasz [1 ]
Bocian, Martyna [1 ]
Sadowska, Gabriela [1 ]
Lokczewska, Wiktoria [1 ]
Balaras, Constantinos A. [4 ]
机构
[1] Lublin Univ Technol, Fac Environm Engn, Nadbystrzycka 40B, PL-20618 Lublin, Poland
[2] Lublin Univ Technol, Fac Elect Engn & Comp Sci, Nadbystrzycka 38A, PL-20618 Lublin, Poland
[3] Lublin Univ Technol, Fac Mech Engn, Nadbystrzycka 36, PL-20618 Lublin, Poland
[4] Natl Observ Athens, Inst Environm Res & Sustainable Dev, GR-15236 Athens, Greece
关键词
Model predictive control; Control of heating; Forecast control; Forecasting heat consumption; Building controls; Energy efficiency in buildings; Decarbonization of buildings; forHEAT;
D O I
10.1016/j.enbuild.2023.113174
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The priority for reaching carbon neutral buildings by 2050 is to first increase energy efficiency in existing buildings by use of easily and widely applicable measures that are verified based on long-term field research. One such solution is a forecast control of heating systems, which can be quickly and easily integrated to existing weather based controls. However, there are still no long-term field evaluation and detailed analyses of the main features of such a system, which would provide a clear picture about the system's energetical and economical features and thus increase their wide application in existing buildings. This paper provides the data from a long term field evaluation of an innovative forecast control of heating systems (forHEAT), which can be easily installed (in less than 2 h) and integrated with existing installations in millions of existing buildings in Europe and throughout the world. The energy consumption for heating was evaluated in seven residential buildings and three public office buildings before and after the installation and use of the forecast control. The resulting energy savings averaged 13.4% in the residential and 10.7% in the public buildings located in continental European climate, with very cold winters. The payback time averaged a 0.6 heating season and in most case studies does not exceed a single heating season.
引用
收藏
页数:10
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