Rooftop PV Suitability Assessment Domestic Dataset

Product Overview

Rooftop PV Suitability Assessment Domestic Data refers to the suitability of domestic properties for the installation of photovoltaic solar panels.

The dataset takes into account the property type, roof type, roof size, roof surface information, roof orientation and roof tilt to calculate the viable roof area, estimated peak capacity (KWp) and estimated yearly outturn (KWh) of a PV array installed on the roof.

A roof is considered suitable if it has enough space to support a minimum of a 1.5 KWp capacity system (or 6 PV panels) and has an orientation of between 120^o and 240^o or is a flat roof (i.e. having an incline slope of less than 5°).

Rooftop PV Suitability Assessment Domestic data is just one dataset in our GIS tool belt that can be combined with our cloud based net zero planning platform LAEP+ (Local Area Energy Planner Plus), or as a stand alone dataset available as an API or exportable file format.

When used in the LAEP+ platform, data can be visualised at UK and regional level to shortlist potential properties for rooftop solar PV with the use of interactive geospatial maps.

Dive deeper to the individual building level data with LAEP+ to analyse and assess recommended array sizes and expected annual electricity generation, enhancing decision-making by providing property specific insights in the click of a button.

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Rooftop PV Suitability Assessment Domestic Dataset

Field	Description	Unit
UPRN	Unique Property Reference Number	-
Primary code description	Ordnance Survey primary classification code	Residential, commercial Etc
Overall suitability	The overall suitability of the property for rooftop PV	True/False
Recommended Array Size	The maximum array size that can be installed on the roof	kW
Annual Generation	The expected annual electricity generation of the PV array	kWh
Roof orientation from North	The calculated orientation of the roof from North	Degrees
Roof area suitable for PV	The estimated area of the roof suitable for a PV array	m²
Peak electricity capacity	The peak electricity generation capacity based on the size and efficiency of the array	kWp

Frequently Asked Questions

LAEP+ aligns with Energy Systems Catapult's 7-stage methodology for Local Area Energy Plans, facilitating the creation of best practice LAEPs and project pipelines.

Stage 1: Preparation
‍This includes determining the geographical area, assessing the policy drivers, identifying resources, appointing a lead organisation for mobilisation and establishing the scope of the LAEP.
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Stage 2: Stakeholder engagement
‍The development of a LAEP involves a collaborative approach, engaging with external stakeholders to effectively integrate and reflect local perspectives within the plan.
Data Stories is a feature of LAEP+ which enables insights from data models to be communicated to stakeholders using online narratives and visualisations. It can be used to put data insights into context for stakeholders and capture valuable feedback. It can also be used to engage with harder-to-reach stakeholders across the local area. Additionally, LAEP+ includes a consultations feature which enables users to survey a wider group of stakeholders through an online poll.

Stage 3: Understanding the current local energy system
‍In order to successfully plan actions in a local area it is necessary to have a good understanding of the current system, its assets, infrastructure, ambitions, and currently committed plans for the future.
LAEP+ operates a dynamic nationwide building and energy network digital twin that provides the starting point for LAEP analysis. Users of LAEP+ can use the map feature to explore, filter and export hundreds of energy, transport, building datasets in order to understand the baseline of a given area.

Stage 4: Modelling Options for the future
‍By considering multiple scenarios, rather than a single scenario, options and choices for how to meet net zero can be considered. The purpose of this stage is to define for each scenario which combination of actions in a local area reaches the carbon target in the most effective way.
The LAEP+ Scenario Modeller feature enables users to create long-term scenarios, which automatically schedules the rollout of selected technologies based on local renewable potential and users’ own input parameters, such as net-zero targets, budget, and local priorities.
Stage 5: Scenario Refinement and Selection
‍Assess and understand the wider impacts of scenarios produced in Stage 4, specifically focusing on factors that are of interest to stakeholders (e.g., impact on fuel poverty).

Stage 6: Actions, Priorities and Decisions
‍Assess the pathway(s) chosen in Stage 5, and categorise their components based around how soon they can be delivered.
The LAEP+ Projects feature provides seamless feasibility assessments of building-level low-carbon deployments. Click and drop assets onto the map, and run an assessment to view carbon saving breakdowns and cost estimations.

Stage 7: Create the Local Area Energy Plan
‍The final stage brings all of the work carried out during the preceding stages into a single document that is the plan to be carried forward for the local area.

Rooftop PV Suitability Assessment Domestic Dataset

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Product Overview