A Novel Planning Model for Approaching a Zero-Food and Zero-Waste Community
Chung Yim Yiu, Bente Castro Campos
Abstract
Chung Yim Yiu, Bente Castro Campos
Abstract
Green building codes normally consider selfsufficiency of energy and water. Their highest aspiration is to build zero carbon buildings (ZCB) or zero energy buildings (ZEB). However, a zero-energy building is not sustainable, as it does not take into account the self-sufficiency of food and waste. This paper puts forward a novel planning model to approach a zero-food and zero-(organic) waste community (ZFW community), paving the way to achieve a truly sustainable community with four-zeros on energy, water, food, and waste. It considers a community of 40-ha land accommodating 10,000 persons. If 8-ha farmland is additionally provided, then it can achieve 100% self-sufficiency in fertilizer (organic waste) and 40% self-sufficiency in vegetables. It does not only save carbon dioxide emission due to transportation of food and waste, but it also helps reduce 40% of the landfill space.
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Green building codes normally consider selfsufficiency of energy and water. Their highest aspiration is to build zero carbon buildings (ZCB) or zero energy buildings (ZEB). However, a zero-energy building is not sustainable, as it does not take into account the self-sufficiency of food and waste. This paper puts forward a novel planning model to approach a zero-food and zero-(organic) waste community (ZFW community), paving the way to achieve a truly sustainable community with four-zeros on energy, water, food, and waste. It considers a community of 40-ha land accommodating 10,000 persons. If 8-ha farmland is additionally provided, then it can achieve 100% self-sufficiency in fertilizer (organic waste) and 40% self-sufficiency in vegetables. It does not only save carbon dioxide emission due to transportation of food and waste, but it also helps reduce 40% of the landfill space.
Key concepts: Zero (linguistics), Zero waste, Zero emission, Food waste, Zerovalent iron, Zero-point energy, Environmental science, Computer science