English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we explore the concept of net-Zero Energy Houses (ZEH) -houses designed to have an annual net energy consumption around zero. Toachieve this, we present a constrained optimization problem whose objective isfinding the optimal sizing of photovoltaic panels and a battery system to beintegrated at home. The original optimization problem is nonlinear withnonconvex constraints. Nevertheless, by applying a series of transformations,it is possible to find an equivalent Linear Programming (LP) problem which iscomputationally tractable. The attainment of ZEH can be tackled by introducinga single constraint in the optimization problem. Additionally, we propose asharing economy approach to the investment problem, a strategy that carries thepotential to reduce the cost of the investment and facilitate the attainment ofZEH in a more efficient manner. Finally, we apply the proposed frameworks to aneighborhood in Japan as a case study, demonstrating the potential forlong-term ZEH attainment. The results show the importance of choosing anappropriate incentive to motivate residents towards achieving ZEH.

ZEH-oriented Linear Programming for the Sizing Problem of Photovoltaic Panels and Batteries