Super sheds or megabytes? Comparing the consenting obstacles of logistics hubs & data centres

The conventional view is that logistics development is a relatively familiar planning proposition, whereas data centres face unique and often more complex consenting challenges. In reality, both sectors present significant planning challenges, albeit of a very different nature.

Although both uses sit within the broad employment and industrial planning landscape, they are perceived very differently by local planning authorities and stakeholders. Logistics schemes benefit from a well-established planning context but can attract strong opposition where concerns arise over traffic generation, visual impact, landscape effects or the loss of employment land to large-format warehousing. Data centres, by contrast, are increasingly recognised as strategically important infrastructure, yet can face scrutiny where substantial land and energy requirements appear disproportionate to the level of on-site employment generated.

That distinction has important commercial implications. Promoters who assume that strong market demand will translate into planning support may underestimate the need to demonstrate why a particular use is appropriate in a particular location. Whether promoting a logistics hub or a data centre, success is likely to depend upon articulating a compelling economic and policy case alongside a clear strategy for addressing the principal delivery risks from the outset.

Logistics schemes generally benefit from a mature planning context. Most local planning authorities are familiar with large-scale warehousing and distribution uses, and there is extensive appeal and examination precedent to guide decision-making. As a result, the principal consenting challenge is often not one of planning policy, but of planning acceptability.

Site selection remains critical. Many logistics schemes are promoted on edge-of-settlement locations or sites benefiting from strategic motorway access, where Green Belt constraints, landscape sensitivity, agricultural land classification or the absence of an allocation can become significant hurdles. In some areas, occupational demand for logistics floorspace has advanced more quickly than the development plan framework, creating a tension between market need and policy support.

Highways considerations are frequently the defining issue. Trip generation, access arrangements, junction capacity, routing strategies and construction traffic impacts can all influence programme, cost and consenting risk. Large scale warehousing proposals can also generate concerns relating to visual impact, noise, lighting, air quality and 24-hour operations, particularly where nearby residential communities are affected. In some locations, debate may also focus on whether the employment benefits associated with the proposal justify the scale of development being promoted.

Importantly, these are generally challenges of planning judgement rather than absolute constraints. The question is often whether impacts can be adequately mitigated and whether the economic benefits outweigh any residual harm. Consequently, logistics schemes are frequently won or lost on the quality of the supporting evidence base. A robust transport assessment, a credible package of highway and environmental mitigation measures, and a design strategy that minimises landscape and visual impacts can materially improve the prospects of securing planning permission.

Data centres are often perceived as difficult to consent because of their technical complexity. In practice, however, the defining challenge is frequently one of infrastructure readiness rather than land use acceptability.

Data centre projects raise a distinct set of consenting pressures. The most significant is often power. A site may be attractive in both locational and commercial terms, but if the necessary grid connection cannot be secured within the required programme, the value of any planning permission may be limited. As a consequence, substations, cable routes, back-up generation, battery storage and other enabling infrastructure can become just as important to project delivery as the principal development itself.

Environmental considerations also require careful management. Noise from plant and cooling equipment, visual impacts arising from large building footprints and ancillary compounds, water consumption, cooling strategies and emissions associated with standby generation can all attract detailed scrutiny. In some locations, local planning authorities may also question whether the economic benefits generated by the proposal are commensurate with its land take, energy demands and visual presence, particularly where alternative employment uses could occupy the site.

Unlike logistics development, where the principal issues are often matters of planning judgement, data centres can be constrained by factors that are more fundamental to deliverability. A logistics scheme may proceed once appropriate mitigation has been identified and accepted. A data centre without a credible power strategy may simply be incapable of implementation, regardless of its planning merits.

For that reason, successful data centre applications typically require a particularly strong focus on strategic need, economic value and infrastructure delivery. The planning case must demonstrate not only that the proposal represents a form of acceptable development, but also that it performs a critical role in supporting digital infrastructure, economic growth and technological investment. A robust economic and operational needs case is therefore often as important as the technical assessments that accompany the application.

Despite those differences, both asset classes are susceptible to the same strategic mistake: assuming that market demand alone will overcome planning or infrastructure constraints.

In practice, the recurring themes are familiar. Success depends on selecting the right site, engaging early with utilities and highway authorities, developing a credible economic narrative and ensuring that the technical evidence is sufficiently robust before an application is submitted. In both sectors, applications often become vulnerable where critical constraints are identified too late in the development process.

For data centres, viability can look strong because occupier demand and covenant strength are often attractive, but the model is highly sensitive to power availability, grid connection timing, abnormal utility and cooling costs, and the risk of prolonged pre-development expenditure before any certainty of consent or energisation. Land may be cheaper in some locations, but that advantage can quickly be eroded by reinforcement works, backup power requirements, sustainability obligations, and complex planning scrutiny around energy use, water consumption, noise, heat output and visual impact. A scheme can therefore appear viable at headline level but become exposed if key inputs such as electricity capacity, construction cost inflation, programme delays or planning mitigation requirements shift late in the process.

By contrast, logistics hub viability is usually more familiar to the market and can benefit from a broader pool of investors, more established valuation benchmarks and a well-trodden path to agreeing deals with established occupiers in the market. But it is still vulnerable to risk where infrastructure works, highway mitigation, site conditions, labour assumptions or BREEAM and carbon requirements push up cost. The principal viability distinction is often that logistics development carries more conventional planning and delivery risk, whereas data centres can carry more binary risk: if sufficient power, utility strategy or environmental mitigation cannot be secured on an acceptable timetable, the scheme may stall entirely rather than simply suffer a reduced return. 

For both asset classes, the most important viability inputs are power and utilities, access and transport mitigation, build cost volatility, planning obligations, environmental constraints, programme certainty, and whether the likely occupier demand and exit value are strong enough to absorb those risks.

The most effective approach is to identify and address the critical consenting issues at the earliest stage. Developers should test planning policy constraints, grid and utility capacity, highway capacity, environmental effects and delivery assumptions before committing to a fixed scheme. They should also be realistic about whether the project requires a phased consenting strategy, associated infrastructure consents or sufficient flexibility within the proposed parameters to respond to issues as they emerge.

For logistics schemes, the priority is often to de-risk highways, landscape and visual amenity impacts early in the process. For data centres, success is more likely to depend on integrating the planning and infrastructure strategies from the outset, particularly in relation to power provision and grid connectivity. In both cases, promoters should avoid overstating employment benefits and instead present a robust, evidence-based assessment of economic value, resilience and wider supply-chain impacts.

Ultimately, neither logistics nor data centre development is inherently easier to consent. The challenge lies not in the use itself, but in understanding the critical constraint most likely to affect delivery.

For logistics schemes, that constraint is often transport, landscape or community acceptance. For data centres, it is more likely to be power, utilities or supporting infrastructure. In both cases, those who identify and address the defining constraint early are most likely to secure consent and deliver a successful project.