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Agyekum, K, Adinyira, E and Oppon, J A (2022) Factors limiting the adoption of hemp as an alternative sustainable material for green building delivery in Ghana. International Journal of Building Pathology and Adaptation, 40(02), 202-18.

d'Amato, M and Kauko, T (2012) Sustainability and risk premium estimation in property valuation and assessment of worth. Building Research & Information, 40(02), 174-85.

Donn, M, Selkowitz, S and Bordass, B (2012) The building performance sketch. Building Research & Information, 40(02), 186-208.

Ekung, S, Odesola, I A and Adewuyi, T (2022) Green cost premium for attaining energy-efficiency rating in Nigeria's hot-humid residential buildings. International Journal of Building Pathology and Adaptation, 40(02), 248-68.

Elasu, J, Kimuli, B R and Adaramola, M S (2022) Cooking fuel choices of households in urban areas in Uganda: a multinomial probit regression analysis. International Journal of Building Pathology and Adaptation, 40(02), 283-98.

Frimpong, E and Twumasi, E (2022) Prediction of unregulated energy usage in office buildings. International Journal of Building Pathology and Adaptation, 40(02), 269-82.

  • Type: Journal Article
  • Keywords: energy; genetic algorithm; office building; prediction; unregulated energy load
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/IJBPA-02-2021-0016
  • Abstract:

    Purpose: The paper presents a technique for predicting the energy consumption of unregulated energy loads (UELs) in office buildings. It also presents an approach for determining a set of optimum values required by the technique. Design/methodology/approach: The proposed technique uses the optimum power drawn and optimum usage period in three modes of device operation, for the prediction. The usage modes are active mode, idle (low active) mode and off mode. The optimum powers and usage times are inserted into a linear mathematical equation to predict the energy consumption. Regarding the approach for determining the optimum values, the non-dominated sorting genetic algorithm II (NSGA-II) is applied to a range of values obtained from field measurements. The proposed prediction method and approach for determining optimum values were tested using data of energy consumption of UELs in a case study facility. Findings: Test results show that the method for predicting the energy consumption of UELs in offices is highly accurate and suitable for adoption by energy modelers, building designers and building regulatory agencies. The approach for determining the optimum values is also effective and can aid the establishment of workable benchmark values. Originality/value: A new and simple model has been developed for the prediction of unregulated energy. A method for determining a set of optimum values of power and usage periods required by the model has also been developed. Furthermore, optimum values have been suggested that can be fine-tuned for use as benchmark values. The proposed approaches are the first of their kind.

Jegede, O E and Taki, A (2022) Optimization of building envelopes using indigenous materials to achieve thermal comfort and affordable housing in Abuja, Nigeria. International Journal of Building Pathology and Adaptation, 40(02), 219-47.

Kleindienst, S and Andersen, M (2012) Comprehensive annual daylight design through a goal-based approach. Building Research & Information, 40(02), 154-73.

Larsson, J, Eriksson, P E, Lingegård, S and Järvenpää, A (2022) Innovation outcomes and processes in infrastructure projects – a comparative study of Design-Build and Design-Build-Maintenance contracts. Construction Management and Economics, 40(02), 142–56.

Leiringer, R, Gottlieb, S C, Fang, Y and Mo, X (2022) In search of sustainable construction: the role of building environmental assessment methods as policies enforcing green building. Construction Management and Economics, 40(02), 104–22.

Opoku, R, Mensah, H and Ahadzie, D K (2022) Guest editorial: Global energy transformation for combating climate change in the built environment: challenges and opportunities in developing countries. International Journal of Building Pathology and Adaptation, 40(02), 161-4.

Ouedraogo, A L S N, Messan, A, Yamegueu, D and Coulibaly, Y (2022) A model for thermal comfort assessment of naturally ventilated housing in the hot and dry tropical climate. International Journal of Building Pathology and Adaptation, 40(02), 183-201.

Sage, D, Dainty, A and Brookes, N (2012) A 'Strategy-as-Practice' exploration of lean construction strategizing. Building Research & Information, 40(02), 221-30.

Sandberg, N H and Brattebø, H (2012) Analysis of energy and carbon flows in the future Norwegian dwelling stock. Building Research & Information, 40(02), 123-39.

Schlegel, M, Trutnevyte, E and Scholz, R W (2012) Patterns of residential heat demand in rural Switzerland. Building Research & Information, 40(02), 140-53.

Sharafi, A, Amalnick, M S and Taleizadeh, A A (2022) Optimal readjustment of contract variables and the financial outcome of PPP projects in the operation period. Construction Management and Economics, 40(02), 87–103.

Soliman-Junior, J, Tzortzopoulos, P and Kagioglou, M (2022) Designers’ perspective on the use of automation to support regulatory compliance in healthcare building projects. Construction Management and Economics, 40(02), 123–41.

Tennant, S and Fernie, S (2012) The commercial currency of construction framework agreements. Building Research & Information, 40(02), 209-20.