We present an agent-based model for residential model adoption of solar photovoltaic (PV) systems in the state of Qatar as a case study for the Arabian Gulf Region. Agents in the model are defined as households. The objective of the model is to evaluate PV adoption across households under diverse regulatory and incentive scenarios determined by home ownership status, the falling cost of PV, the reduction of electricity subsidies, the introduction of a carbon tax, and the diffusion of renewable energy innovation. Our study suggests that Qatar's residential PV adoption is strongly promoted by the falling cost of PV and can be further facilitated through the reduction of electricity subsidies and the extension of the electricity tariff to Qatari households, which are currently exempt. The introduction of a carbon tax can also play a role in accelerating residential PV adoption, if above $8 per metric ton of carbon dioxide equivalent. The ensuing PV adoption rates would help facilitate the national targets of 2% electricity production from solar energy by 2020 and 20% by 2030.

中文翻译：

---

阿拉伯海湾地区太阳能住宅采用建模

我们提出了一个基于代理的模型，用于在卡塔尔州采用太阳能光伏 (PV) 系统作为阿拉伯海湾地区的案例研究。模型中的代理人被定义为家庭。该模型的目标是在由房屋所有权状况、光伏成本下降、电力补贴的减少、碳税的引入以及可再生能源创新的扩散决定的不同监管和激励方案下评估家庭对光伏的采用情况。 . 我们的研究表明，卡塔尔的住宅光伏采用受到光伏成本下降的强烈推动，可以通过减少电力补贴和将电价扩展到目前免税的卡塔尔家庭来进一步促进。如果每公吨二氧化碳当量超过 8 美元，碳税的引入也可以在加速住宅光伏采用方面发挥作用。随之而来的光伏采用率将有助于实现到 2020 年太阳能发电 2% 和 2030 年 20% 的国家目标。