Optimising High-Rise Buildings for Self-Sufficiency in Energy Consumption and Food Production Using Artificial Intelligence: Case of Europoint Complex in Rotterdam

Abstract

The increase in global population, which negatively affects energy consumption, CO2 emissions, and arable land, necessitates designing sustainable habitation alternatives. Self-sufficient high-rise buildings, which integrate (electricity) generation and efficient usage of resources with dense habitation, can be a sustainable solution for future urbanisation. This paper focuses on transforming Europoint Towers in Rotterdam into self-sufficient buildings considering energy consumption and food production (lettuce crops) using artificial intelligence. Design parameters consist of the number of farming floors, shape, and the properties of the proposed façade skin that includes shading devices. Nine thousand samples are collected from various floor levels to predict self-sufficiency criteria using artificial neural networks (ANN). Optimisation problems with 117 decision variables are formulated using 45 ANN models that have very high prediction accuracies. 13 optimisation algorithms are used for an in-detail investigation of self-sufficiency at the building scale, and potential sufficiency at the neighbourhood scale. Results indicate that 100% and 43.7% self-sufficiencies could be reached for lettuce crops and electricity, respectively, for three buildings with 1800 residents. At the neighbourhood scale, lettuce production could be sufficient for 27,000 people with a decrease of self-sufficiency in terms of energy use of up to 11.6%. Consequently, this paper discusses the potentials and the improvements for self-sufficient high-rise buildings.

Roles of Artificial Intelligence and Machine Learning in Enhancing Construction Processes and Sustainable Communities

“…Ref. [38] employed AI to turn the Europoint Towers in Rotterdam into self-sufficient buildings by taking into account energy use and food production (lettuce crops). The study looked into optimizing high-rise buildings for self-sufficiency in food production and energy usage based on daylight availability.…”

The Role of Artificial Intelligence within Circular Economy Activities—A View from Ireland

“…The potential applications of AI are numerous. However, the most impactful and well known include: computer vision [49], natural language processing [50], recommendation systems [51], and optimisation [52]. AI holds transformational potential for CE in many diverse ways including: hidden pattern identification, data analysis, predictive analysis, reverse logistics, improved process optimisation, and enhancing responsiveness [19,22].…”