People-Centered Design of Rural Household Photovoltaic Energy Storage Based on Public Datasets

People-Centered Design of Rural Household Photovoltaic Energy Storage Based on Public Datasets | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article People-Centered Design of Rural Household Photovoltaic Energy Storage Based on Public Datasets Wenjun Tian, Ying Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9266328/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Rural household photovoltaic energy storage systems often face a disconnect between laboratory optimisation and field implementation. This problem directly responds to a long-term challenge in traditional energy systems: focusing on technical efficiency while neglecting user adaptability. Its essence is the Prometheus gap between technical complexity and farmers' cognitive capacity. This article uses Günter Anders' technical criticism theory as an analytical framework. It builds a lightweight, low-computing-power, and highly interpretable Human-Centred Design (HCD) scheme. The scheme is based on multi-source public authoritative datasets. Results show that with an average annual energy generation loss of about 3%, the comprehensive human-centred score increases by 18.7%. Scenario-based operational resilience increases by 95.7%. Using public data instead of customised research, fuzzy logic instead of deep learning, and minimalist interaction instead of specialized interfaces can bridge the cognitive gap between technology and farmers at low cost. The research also reflects that existing HCD still has limitations due to engineers' preset rules. In the future, a transition to a user-defined rule paradigm is needed. This will fundamentally alleviate technological alienation in energy systems. Rural household photovoltaic energy storage human-centred energy system lightweight intelligent control distributed energy Human-Machine Interaction (HMI) open data-driven technological alienation Full Text Additional Declarations No competing interests reported. Supplementary Files AppendixBFuzzy25rules.txt AppendixCSimulationconfig.md AppendixAMultiobjectiveweighttest.csv AppendixDSTM32algorithm.txt Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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