Dynamic analysis of the heat released by tertiary buildings and the effects of urban heat island mitigation strategies

Magli, Susanna; Lodi, Chiara; Contini, Francesco Maria; Muscio, Alberto; Tartarini, Paolo

doi:10.1016/j.enbuild.2015.05.037

Cited by 21 publications

(10 citation statements)

References 26 publications

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“…It is convenient to represent the general solution as: (4) where γ S P -a system of products of predefi ned constants A 1 ... A N , α 1 ... α N , β 1 ... β N , S1…SN, P1…PN and initial conditions. To determine the general solution (4) γ S P for three components:…”

Section: Methodology Obtaining a General Solution For A Sequence Of Rmentioning

confidence: 99%

“…can be reduced to a sequence of recurrent relations of fi rst order differential equations with a linear dependence in the right-hand side. Such tasks include thermodynamic analysis models [4][5][6][7][8][9][10][11], heat and power system models [12][13][14][15][16], combustion models [17][18][19][20][21][22], models of local heat exchange systems (for example, solar collectors [23][24][25][26][27][28]), and others. Nowadays, systems of homogeneous and inhomogeneous differential equations are one of the main tools for mathematical modeling of physical processes [14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development and experimental verification of the mathematical model of thermal inertia for a branched heat supply system

Batukhtin¹,

Batukhtina²,

Bass³

et al. 2019

J Appl Eng Science

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The article describes a new method for making management decisions on heat supply in district heating systems, based on solving a sequence of recurrence relations of fi rst-order differential equations, enabling to synthesize daily schedules of heat supply in such systems. Using fi rst order differential equations, we implement real-time daily heat supply scheduling, predict the time-temperature dependence for heating water in the supply line, and we form a decision on the thermal energy delivery on the basis of this information. The effectiveness of our method is confi rmed by numerical modeling and comparative analysis of daily heat supply scheduling with the help of advanced intelligent decision making tools. For comparative analysis, we considered daily scheduling using a nonlinear regression model, a generalized regression neural network, a radial basis neural network, and a linear neural network. The effectiveness of our method was estimated on the basis of MAPE (mean absolute percentage error) and Accuracy coeffi cients. The model was recognized as most effective for which the MAPE value was maximum, and the Accuracy value tended to one hundred percent. Experimental studies showed that our proposed model has an advantage over the regression model by 1.68 times and over the neural models by more than 10.2 times when modeling for a hundred heating network sections. Thus, the main purpose of our study was to increase the accuracy of the method of making a managerial heat supply decision based on the experimental verifi cation of a mathematical model of thermal inertia of a branched district heating system.

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Section: Methodology Obtaining a General Solution For A Sequence Of Rmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development and experimental verification of the mathematical model of thermal inertia for a branched heat supply system

Batukhtin¹,

Batukhtina²,

Bass³

et al. 2019

J Appl Eng Science

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show abstract

“…The usefulness of cool roofs was also investigated with regard to cold climates, such as Montreal (Touchaei & Akbari, 2013). In this regard, while cool roofs have shown to significantly reduce the contribution to the UHI in the hot season, the penalization introduced in regions with cold winter seems often negligible in terms of either energy needs for heating or lower heat released to, and thus warming, the outer urban environment (Magli et al, 2016). Cool roofs can in fact be seen as the technological rediscovery of ancient concepts: in the Mediterranean areas, roofs and walls of buildings are white since thousands of years.…”

Section: Cool Roofs and Their Agingmentioning

confidence: 99%

Coupling of Solar Reflective Cool Roofing Solutions with Sub-Surface Phase Change Materials (PCM) to Avoid Condensation and Biological Growth

Muscio

2016

ESSD

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Cool roofs are effective solutions to counter the overheating of building roofs, inhabited spaces below and urban areas in which buildings are located thanks to their capability of reflecting solar radiation. Nonetheless, the relatively low surface temperatures that they induce can cause condensation of humidity and leave the surface wetted for large part of the day, thus promoting the growth of bacteria, algae and other biological fouling; this can cause a quick decay of the solar reflective performance. Biological growth is countered by surface treatments, which, however, may be toxic and forbidden in many countries and may also vanish quickly. It can also be countered by lowering the thermal emittance and thus decreasing heat transfer by infrared radiation to the sky and the consequent night undercooling, but this can decrease the performance of cool roofs. An alternative approach, which is analyzed in this work, is to embed in the first layer below the cool roof surface a phase change material (PCM) that absorbs heat during the daytime and then releases it in the nighttime. This can increase the minimum surface temperatures, thus reducing the occurrence humidity condensation and also the biological growth. In this work, preliminary results on the coupling of a cool roof surface with a PCM sublayer are presented, being obtained by theoretical investigation on commercial materials and taking into account the time evolution pattern of the environmental conditions.

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“…Energy consumption in educational buildings, and primarily in University buildings, is usually high [4] and it represents a complex issue due to the variability in building construction age and the intermittent and wide variety of uses [5].…”

Section: Introductionmentioning

confidence: 99%

University energy planning for reducing energy consumption and GHG emissions: the case study of a university campus in Italy

Lodi¹,

Malaguti²,

Contini³

et al. 2017

IJHT

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Reduction of energy consumption in educational buildings, and primarily in University buildings, is nowadays a relevant issue. The evaluation of the energy performance of these buildings is complex due to the variability in their construction age and their intermittent and wide variety of uses. In addition, these buildings are often characterized by a scarce availability of energy end use data, which makes challenging to benchmark energy performance and to inform energy policy decisions. To tackle this problem, this paper explores the use of simple indicators linking low-frequency available energy consumption data to variables measuring building characteristics and weather conditions. The use of such indicators is accompanied by detailed ad-hoc energy audits, including activities in the area of building management systems and dynamic energy simulation. The case study chosen is the Italian University of Modena and Reggio Emilia, which recently developed a Sustainability Plan targeting reductions in GHG emissions to 2020 and identified a framework for investment over the next 5 years to meet University targets. The results of the study shows that simple performance indicators can provide a first insight into the buildings energy performance and identify critical buildings that require detailed analysis. The results of the energy audits support the decision of actions to reduce heating and cooling energy consumption while maintaining acceptable thermal comfort for occupants.

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Dynamic analysis of the heat released by tertiary buildings and the effects of urban heat island mitigation strategies

Cited by 21 publications

References 26 publications

Development and experimental verification of the mathematical model of thermal inertia for a branched heat supply system

Development and experimental verification of the mathematical model of thermal inertia for a branched heat supply system

Coupling of Solar Reflective Cool Roofing Solutions with Sub-Surface Phase Change Materials (PCM) to Avoid Condensation and Biological Growth

University energy planning for reducing energy consumption and GHG emissions: the case study of a university campus in Italy

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